fast.ai—Making neural nets uncool again – fast.ai

Courses: Practical Deep Learning for Coders; From Deep Learning Foundations to Stable Diffusion
Software: fastai for PyTorch; nbdev
Book: Practical Deep Learning for Coders with fastai and PyTorch
In the news: The Economist; The New York Times; MIT Tech Review
Corporate partner program: Get help with fast.ai technologies & courses from the partner program

Blog

In defense of screen time

education

Pundits say my husband and I are parenting wrong.

A new old kind of R&D lab

Answer.AI is a new kind of AI R&D lab which creates practical end-user products based on foundational research breakthroughs.

Can LLMs learn from a single example?

technical

We’ve noticed an unusual training pattern in fine-tuning LLMs. At first we thought it’s a bug, but now we think it shows LLMs can learn effectively from a single example.

Jeremy Howard and Jonathan Whitaker

AI and Power: The Ethical Challenges of Automation, Centralization, and Scale

machine learning

ai-in-society

Moving AI ethics beyond explainability and fairness to empowerment and justice

AI Safety and the Age of Dislightenment

ai-in-society

Model licensing & surveillance will likely be counterproductive by concentrating power in unsustainable ways

Is Avoiding Extinction from AI Really an Urgent Priority?

ai-in-society

The history of technology suggests that the greatest risks come not from the tech, but from the people who control it

Seth Lazar, Jeremy Howard, & Arvind Narayanan

Mojo may be the biggest programming language advance in decades

technical

Mojo is a new programming language, based on Python, which fixes Python’s performance and deployment problems.

From Deep Learning Foundations to Stable Diffusion

courses

We’ve released our new course with over 30 hours of video content.

GPT 4 and the Uncharted Territories of Language

ai-in-society

Language is a source of limitation and liberation. GPT 4 pushes this idea to the extreme by giving us access to unlimited language.

I was an AI researcher. Now, I am an immunology student.

education

Last year, I became captivated by a new topic in a way that I hadn’t felt since I first discovered machine learning

1st Two Lessons of From Deep Learning Foundations to Stable Diffusion

courses

4 videos from Practical Deep Learning for Coders Part 2, 2022 have been released as a special early preview of the new course.

Deep Learning Foundations Signup, Open Source Scholarships, & More

courses

Signups are now open for Practical Deep Learning for Coders Part 2, 2022. Scholarships are available for fast.ai community contributors, open source developers, and diversity scholars.

From Deep Learning Foundations to Stable Diffusion

courses

Practical Deep Learning for Coders part 2, 2022

My family’s unlikely homeschooling journey

education

Prior to 2020, we never expected to homeschool, and now we have committed to it long-term.

The Jupyter+git problem is now solved

technical

Previously, using git with Jupyter could create conflicts and break notebooks. With nbdev2, the problem has been totally solved.

nbdev+Quarto: A new secret weapon for productivity

technical

Our favorite tool for software engineering productivity–nbdev, now re-written with Quarto

Hamel Husain and Jeremy Howard

Practical Deep Learning for Coders 2022

courses

A complete from-scratch rewrite of fast.ai’s most popular course, that’s been 2 years in the making.

Masks for COVID: Updating the evidence

health

Notes taken whilst preparing a paper on mask efficacy from Nov to Jan 2022. My previous paper on this was written in April 2020 and published in the Proceedings of the National Academy of Science

Qualitative humanities research is crucial to AI

ai-in-society

Following the thread of any seemingly quantitative issue in AI ethics (such as determining if software to rate loan applicants is racially biased or evaluating YouTube’s recommendation system) quickly leads to a host of qualitative questions. Unfortunately, there is often a large divide between computer scientists and social scientists, with over-simplified assumptions and fundamental misunderstandings of one another.

Louisa Bartolo and Rachel Thomas

AI Harms are Societal, Not Just Individual

ai-in-society

In the west, our ideas of harm are largely anchored to an individual being harmed by a particular action at a discrete moment in time. Yet the harms caused by algorithmic systems are often collective and communal.

Rachel Thomas and Louisa Bartolo

There’s no such thing as not a math person

advice

education

Many cultural factors, misconceptions, stereotypes, and obstacles turn people off to math.

7 Great Lightning Talks Related to Data Science Ethics

ai-in-society

Lightning talks by Australian experts on a range of topics related to data science ethics, including machine learning in medicine, explainability, Indigenous-led AI, and the role of policy

Doing Data Science for Social Good, Responsibly

ai-in-society

While data for social good projects can be useful, there are also pitfalls to avoid.

Avoiding Data Disasters

technical

ai-in-society

Things can go disastrously wrong on data science and machine learning projects when we undervalue data work, use data in contexts that it wasn’t gathered for, or ignore the crucial role that humans play in the data science pipeline.

SARS-CoV-2 Spike Protein Impairment of Endothelial Function Does Not Impact Vaccine Safety

health

All approved SARS-CoV-2 vaccines provide far more benefits than risks. The very rare risk of VITT from the AZ and JJ vaccines is not due to the spike proteins, but is most likely due to details of their formulation.

Jeremy Howard and Uri Manor

Statistical problems found when studying Long Covid in kids

health

technical

Statistical tests need to be paired with proper data and study design to yield valid results. A recent review paper on Long Covid in children provides a useful example of how researchers can get this wrong. We use causal diagrams to decompose the problem and illustrate where errors were made.

Medicine is Political

health

From covid-19 to HIV research to the long history of wrongly assuming women’s illnesses are psychosomatic, we have seen again and again that medicine, like all science, is political.

Inaccuracies, irresponsible coverage, and conflicts of interest in The New Yorker

health

Letter to the editor of the New Yorker on the irresponsible description of a suicide, undisclosed financial conflicts of interest, and omission of relevant medical research and historical context in their recent long covid article

Australia can, and must, get R under 1.0

health

By using better masks, monitoring and improving indoor air quality, and rolling out rapid tests, we could quickly halt the current outbreaks in the Australian states of New South Wales (NSW) and Victoria. If we fail to do so, and open up before 80% of all Australians are vaccinated, we may have tens of thousands of deaths, and hundreds of thousands of children with chronic illness which could last for years.

Getting Specific about AI Risks (an AI Taxonomy)

ai-in-society

The term “Artificial Intelligence” is a broad umbrella, referring to a variety of techniques applied to a range of tasks. This breadth can breed confusion. Success in using…

11 Short Videos About AI Ethics

ai-in-society

I made a playlist of 11 short videos (most are 6-13 mins long) on Ethics in Machine Learning. This is from my ethics lecture in Practical Deep Learning for Coders v4. I…

fastai A Layered API for Deep Learning

Abstract: fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard…

Jeremy Howard and Sylvain Gugger

fastdownload: the magic behind one of the famous 4 lines of code

technical

Summary: Today we’re launching fastdownload, a new library that makes it easy for your users to download, verify, and extract archives.

Is GitHub Copilot a blessing, or a curse?

technical

GitHub Copilot is a new service from GitHub and OpenAI, described as “Your AI pair programmer”. It is a plugin to Visual Studio Code which auto-generates code for you based…

fastchan, a new conda mini-distribution

technical

Summary: today we’re announcing fastchan, a new conda mini-distribution with a focus on the PyTorch ecosystem. Using fastchan, installation and updates of libraries such as P…

20 Years of Tech Startup Experiences in One Hour

ai-in-society

I’ve just returned to Australia to live, after a decade as an entrepreneur in San Francisco. For my first in-person talk in Australia, I shared my thoughts on how to build a…

I violated a code of conduct

ai-in-society

Update Oct 30, 2020: NumFOCUS has apologized to me. I accept their apology. I do not accept their assertion that “At the time of the interview, the committee had not…

Avoiding the smoke - how to breath clean air

advice

health

You can use filters in your mask, your home central air, and your fans to clean the air in your home.

fast.ai releases new deep learning course, four libraries, and 600-page book

courses

technical

We’re releasing Practical Deep Learning for Coders (2020), fastai v2, fastcore, and fastgpu.

Forward from the ‘Deep Learning for Coders’ Book

courses

To celebrate the release of fast.ai’s new course, book, and software libraries on August 21st, we’re making available the foreword that Soumith Chintala (the co-creator of PyTorch) wrote for the book

Soumith Chintala

Applied Data Ethics, a new free course, is essential for all working in tech

ai-in-society

courses

Free, online course from fast.ai and University of San Francisco Data Institute covering disinformation, bias & fairness, ethical foundations, practical tools, privacy & surveillance, the silicon valley ecosystem, and algorithmic colonialism.

Essential Work-From-Home Advice: Cheap and Easy Ergonomic Setups

advice

health

You can permanently damage your back, neck, and wrists from working without an ergonomic setup. Learn how to create one for less at home.

Cloth masks can protect the wearer

health

DIY masks aren’t just for protecting those around you. They can protect you too, but material and fit matters a lot. Learn what works, based on the latest research.

Particle sizes for mask filtration

health

SARS-CoV-2 does not float in the air. It’s expelled as large droplets, which are easily caught by a cloth mask.

Introducing the first cohort of USF CADE Data Ethics Research Fellows

ai-in-society

The University of San Francisco Center for Applied Data Ethics welcomes its first cohort of research fellows.

Masks - FAQ for Skeptics

health

Wearing a mask decreases the number of people infected by an infectious wearer, because it reduces by around 99% the number of droplets that are ejected during speech

Masks for all? The science says yes.

health

Most scientific evidence points in the same direction: keep your droplets to yourself - wear a mask

Professor Trisha Greenhalgh OBE and Jeremy Howard

6 Important Videos about Tech, Ethics, Policy, and Government

ai-in-society

At the CADE Tech Policy Workshop, members of local government, activists, researchers, and those in industry shared prespectives on how to understand the uses, risks, and opporutnities around government use of technology.

Saving The Mask

health

An initiative from STEM teachers in Hong Kong to make reusable masks, for the community, by the community

Covid-19, your community, and you - a data science perspective

health

We are data scientists—that is, our job is to understand how to analyze and interpret data. When we analyze the data around covid-19, we are very concerned. The most…

Jeremy Howard and Rachel Thomas

Disinformation: what it is, why it’s pervasive, and proposed regulations

ai-in-society

At the CADE Tech Policy Workshop, experts Renee DiResta and Guillaume Chaslot spoke on disinformation, including the dyanmics that cause it to go viral and attempts towards addressing it.

Tech Ethics Crisis: The Big Picture, and How We Got Here

ai-in-society

At the CADE Tech Policy Workshop, Y-Vonne Hutchinson spoke about the role of tech in facilitating mass atrocity, and Catherine Bracy spoke on the need for empathy and collective action.

4 Principles for Responsible Government Use of Technology

ai-in-society

As governments consider new uses of technology, in public places, this raises issues around surveillance of vulnerable populations, unintended consequences, and potential misuse. There are several principles to keep in mind in how these decisions can be made in a healthier and more responsible manner.

Blogging with Jupyter Notebooks

technical

With Jupyter Notebooks and fast_template, we can easily share prose, code, tables, charts, and more!

Your own blog with GitHub Pages and fast_template (4 part tutorial)

technical

Overview of 4 part series explaining how to host your own blog without any coding

Blogging with screenshots

technical

We show how to use fast_template’s special ‘screenshot’ feature to get high-resolution screenshots

Syncing your blog with your PC, and using your word processor

technical

With GitHub Pages you can synchronize your blog with your computer, and write posts with MS Word or Google Docs

Your own hosted blog, the easy, free, open way (even if you’re not a computer expert)

technical

An easy and free approach to using an entirely browser-based interface for all your blogging needs

Self-supervised learning and computer vision

technical

Pretrain a model using labels that are naturally part of the input data, instead of using external labels

Data project checklist

technical

There’s a lot more to creating useful data projects than just training an accurate model

nbdev: use Jupyter Notebooks for everything

technical

nbdev is a Python programming environment which allows you to create complete python packages, including tests and a rich documentation system, all in Jupyter Notebooks

Concerned about the impacts of data misuse? Ways to get involved with the USF Center for Applied Data Ethics

ai-in-society

Three months after the launch of CADE, find out what we’ve been up to and how you can get involved.

The problem with metrics is a big problem for AI

ai-in-society

technical

Unthinkingly optimizing metrics can lead to a variety of grave harms, and what most current AI approaches do is to optimize metrics.

8 Things You Need to Know about Surveillance

ai-in-society

8 important truths about surveillance

Make Delegation Work in Python

Fixing the delegation program using delegates decorator and GetAttr

USF Launches New Center of Applied Data Ethics

ai-in-society

courses

University of San Francisco is launching a Center of Applied Data Ethics, and Rachel Thomas is the director of the new center.

new fast.ai course: A Code-First Introduction to Natural Language Processing

technical

courses

fast.ai’s newest course is Code-First Intro to NLP. It covers a blend of traditional NLP techniques, recent deep learning approaches, and urgent ethical issues.

Deep Learning from the Foundations

courses

Today we are releasing a new course, Deep Learning from the Foundations, which shows how to build a state of the art deep learning model from scratch.

A LaTeX add-in for PowerPoint - my father’s day project

technical

For creating presentations there’s a lot of features in PowerPoint that are hard to beat. So it’s not surprising that it’s a very popular tool—I see a lot of folks…

Was this Google Executive deeply misinformed or lying in the New York Times?

ai-in-society

YouTube has played a significant role in radicalizing people into conspiracy theories that promote white supremacy, anti-vaxxing, denial of mass shootings, climate change…

Advice for Better Blog Posts

advice

A blog is like a resume, only better. I’ve been invited to give keynote talks based on my posts, and I know of people for whom blog posts have led to job offers. I’ve…

Decrappification, DeOldification, and Super Resolution

courses

We presented this work at the Facebook f8 conference. You can see this video of our talk here, or read on for more details and examples.

Jason Antic (Deoldify), Jeremy Howard (fast.ai), and Uri Manor (Salk Institute)

16 Things You Can Do to Make Tech More Ethical, part 3

ai-in-society

This post is part 3 in a series. Please check out part 1 here and part 2 here.

16 Things You Can Do to Make Tech More Ethical, part 2

ai-in-society

This post is part 2 in a 3-part series. Please check out part 1 and part 3 as well.

16 Things You Can Do to Make Tech More Ethical, part 1

ai-in-society

This post is part 1 in a 3-part series. Please check out part 2 and part 3 as well.

fast.ai Embracing Swift for Deep Learning

technical

Note from Jeremy: If you want to join the next deep learning course at the University of San Francisco, discussed below, please apply as soon as possible because it’s under…

A Conversation about Tech Ethics with the New York Times Chief Data Scientist

ai-in-society

Note from Rachel: Although I’m excited about the positive potential of tech, I’m also scared about the ways that tech is having a negative impact on society, and I’m…

Rachel Thomas and Chris Wiggins

Dairy farming, solar panels, and diagnosing Parkinson’s disease: what can you do with deep learning?

ai-in-society

courses

Many people incorrectly assume that AI is only for an elite few– a handful of Silicon Valley computer science prodigies with monthly budgets larger than most people’s…

fastec2: AWS computer management for regular folks

technical

This is part 1 of a series on fastec2. To learn how to run and monitor long-running tasks with fastec2 check out part 2.

fastec2 script: Running and monitoring long-running tasks

technical

This is part 2 of a series on fastec2. For an introduction to fastec2, see part 1.

Some thoughts on zero-day threats in AI, and OpenAI’s GPT-2

ai-in-society

There’s been a lot of discussion in the last couple of days about OpenAI’s new language model. OpenAI made the unusual decision to not release their trained model (the AI…

Five Things That Scare Me About AI

ai-in-society

AI is being increasingly used to make important decisions. Many AI experts (including Jeff Dean, head of AI at Google, and Andrew Ng, founder of Coursera and…

fast.ai Diversity Fellows and Sponsors Wanted

courses

This post was originally published on 2018-08-16, but has been updated for the newest, upcoming course.

Practical Deep Learning for Coders 2019

courses

Launching today, the 2019 edition of Practical Deep Learning for Coders, the third iteration of the course, is 100% new material, including applications that have never been…

C++11, random distributions, and Swift

technical

Generating numbers from random distributions is a practically useful tool that any coder is likely to need at some point. C++11 added a rich set of random distribution…

High Performance Numeric Programming with Swift: Explorations and Reflections

technical

Over the past few weeks I’ve been working on building some numeric programming libraries for Swift. But wait, isn’t Swift just what iOS programmers use for building apps?…

One year of deep learning

advice

My resolution for 2018 was to get into deep learning. I had stumbled upon a website called fast.ai in October 2017 after reading an article from the New York Times…

The new fast.ai research datasets collection, on AWS Open Data

courses

technical

In machine learning and deep learning we can’t do anything without data. So the people that create datasets for us to train our models are the (often under-appreciated)…

Jeremy Howard (fast.ai) and Jed Sundwall (Open Data Global Lead, AWS)

fastai v1 for PyTorch: Fast and accurate neural nets using modern best practices

technical

Note from Jeremy: Want to learn more? Listen to me discuss fastai with Sam Charrington in this in-depth interview.

Introduction to Machine Learning for Coders: Launch

courses

Today we’re launching our newest (and biggest!) course, Introduction to Machine Learning for Coders. The course, recorded at the University of San Francisco as part of the Ma…

AI Ethics Resources

advice

ai-in-society

My newest Ask-A-Data-Scientist post was inspired by a computer science student who wrote in asking for advice on how to pursue a career in policy making related to the…

What You Need to Know Before Considering a PhD

advice

education

My newest Ask-A-Data-Scientist post addresses the question of whether to pursue a PhD. You can find my previous Ask-A-Data-Scientist advice columns here.

Practical Deep Learning for Coders, part-time Diversity Fellowships, Fall 2018

courses

At fast.ai, we want to do our part to increase diversity in deep learning and to lower the unnecessary barriers to entry for everyone. We are providing diversity…

Now anyone can train Imagenet in 18 minutes

technical

This post extends the work described in a previous post, Training Imagenet in 3 hours for $25; and CIFAR10 for $0.26.

What HBR Gets Wrong About Algorithms and Bias

ai-in-society

The Harvard Business Review recently published an article, Want Less-Biased Decisions? Use Algorithms. by Alex P. Miller. The article focuses on the fact that humans make…

Google’s AutoML: Cutting Through the Hype

technical

This is part 3 in a series. Part 1 is here and Part 2 is here.

An Opinionated Introduction to AutoML and Neural Architecture Search

technical

This is part 2 in a series. Check out part 1 here and part 3 here.

What do machine learning practitioners actually do?

technical

This post is part 1 of a series. Part 2 is an opinionated introduction to AutoML and neural architecture search, and Part 3 looks at Google’s AutoML in particular.

AdamW and Super-convergence is now the fastest way to train neural nets

technical

Note from Jeremy: Welcome to fast.ai’s first scholar-in-residence, Sylvain Gugger. What better way to introduce him than to publish the results of his first research…

Sylvain Gugger and Jeremy Howard

Launching Cutting Edge Deep Learning for Coders: 2018 edition

courses

Today we are launching the 2018 edition of Cutting Edge Deep Learning for Coders, part 2 of fast.ai’s free deep learning course. Just as with our part 1 Practical Deep…

Training Imagenet in 3 hours for USD 25; and CIFAR10 for USD 0.26

technical

Posted: May 2, 2018

An Introduction to Deep Learning for Tabular Data

technical

There is a powerful technique that is winning Kaggle competitions and is widely used at Google (according to Jeff Dean), Pinterest, and Instacart, yet that many people don’t…

What you need to know about Facebook and Ethics

ai-in-society

While many news outlets have covered what Zuckerberg wore for his testimony before congress last week, I wish that several more substantial issues were getting greater…

A Discussion about Accessibility in AI at Stanford

advice

I recently was a guest speaker at the Stanford AI Salon on the topic of accessiblity in AI, which included a free-ranging discussion among assembled members of the Stanford…

Adding Data Science to your College Curriculum

advice

We keep hearing that data scientist is the hottest job of the 21st century and that there is a cross-industry shortage of employees with enough data skills, yet the idea of…

Practical Deep Learning for Coders 2018

courses

Last year we announced that we were developing a new deep learning course based on Pytorch (and a new library we have built, called fastai), with the goal of allowing more…

International Fellowship applications for Part 2 now open

courses

From the time of our very first deep learning course at the USF Data Institute (which was recorded and formed the basis of our MOOC), we have allowed selected students that…

New Opportunities For New Deep Learning Practitioners

courses

ai-in-society

Dawit Haile fought against the odds when he decided to study computer science in Eritrea, East Africa, despite having no internet connectivity. His perseverance paid off…

Five Trends to Avoid When Founding a Startup

advice

This post was inspired by a round-table discussion I led on the topics of founding start-ups and personal branding at the Women in Machine Learning Workshop, co-located with…

Deep Learning Diversity Fellowship Applications Now Open

courses

Cutting Edge Deep Learning for Coders (Part 2) will be taught this spring at the USF Data Institute in downtown San Francisco, on Monday evenings from March 19 to April 30.…

Making Peace with Personal Branding

advice

As a child, I was nerdy and shy. At my elementary and middle schools, we had to present our science projects to judges in the school science fair each year, and I noticed…

What you need to do deep learning

advice

technical

This post has been translated into Chinese here.

How (and why) to create a good validation set

technical

An all-too-common scenario: a seemingly impressive machine learning model is a complete failure when implemented in production. The fallout includes leaders who are now…

When Data Science Destabilizes Democracy and Facilitates Genocide

ai-in-society

What we’re talking about is a cataclysmic change… What we’re talking about is a major foreign power with sophistication and ability to involve themselves in a presidential…

Credible sources of accurate information about AI

advice

There is a lot of misleading and even false information about AI out there, ranging from apallingly bad journalism to overhyped marketing materials to quotes from…

Can Neural Nets Detect Sexual Orientation? A Data Scientist’s Perspective

ai-in-society

This post has been translated into Chinese here.

Introducing Pytorch for fast.ai

technical

courses

The next fast.ai courses will be based nearly entirely on a new framework we have developed, built on Pytorch. Pytorch is a different kind of deep learning library (dynamic…

International Fellowship applications for Part 1 now open

courses

This post is from 2017. To apply for the 2018 version, please read this post

Notes on state of the art techniques for language modeling

technical

Edit one day later… Much to my surprise a lot of people shared this on twitter, and much to my delight there were some very helpful and interesting comments from people I…

Advice to Medical Experts Interested in AI

advice

This week’s Ask-A-Data-Scientist column is from a medical doctor. Email your data science advice questions to mailto:[email protected]. Previous posts include:

Sponsor a Deep Learning Diversity Scholarship

courses

Last year’s diversity fellowships (funded by University of San Francisco and fast.ai), open to women, people of Color, LGBTQ people, and vets, played a role in helping us…

Diversity Crisis in AI, 2017 edition

ai-in-society

Deep learning has great potential, but currently the people using this technology are overwhelmingly white and male. We’re already seeing society’s racial and gender biases…

Announcing fast.ai diversity scholarships

courses

At fast.ai, we want to do our part to increase diversity in deep learning and to lower the unnecessary barriers to entry for everyone. Therefore, we are providing diversity…

Thoughts on OpenAI, reinforcement learning, and killer robots

ai-in-society

“So how is fast.ai different from OpenAI?” I’ve been asked this question numerous times, and on the surface, there are several similarities: both are non-profits, both value…

Cutting Edge Deep Learning for Coders: Launching Deep Learning Part 2

courses

Special note: we’re teaching a fully updated part 1, in person, for seven weeks from Oct 30, 2017, at the USF Data Institute. See the course page for details and application…

New fast.ai course: Computational Linear Algebra

courses

I am thrilled to release fast.ai’s newest free course, Computational Linear Algebra, including an online textbook and a series of videos, and covering applications (using…

How to Encourage Your Child’s Interest in Science and Tech

advice

This week’s Ask-A-Data-Scientist column is from a parent on how to encourage their child in STEAM. Please email your data science related quandaries to mailto:[email protected].…

Alternatives to a Degree to Prove Yourself in Deep Learning

advice

This post has been translated into Chinese here.

To become a data scientist, focus on coding

advice

This week’s Ask-A-Data-Scientist column answers two short questions from students. Please email your data science related quandaries to mailto:[email protected]. Note that…

Machine learning hasn’t been commoditized yet, but that doesn’t mean you need a PhD

advice

This post has been translated into Chinese here.

How to change careers and become a data scientist - one quant’s experience

advice

This post has been translated into Chinese here.

Deep Learning: Not Just for Silicon Valley

ai-in-society

courses

Recent American news events range from horrifying to dystopian, but reading the applications of our fast.ai international fellows brought me joy and optimism. I was blown…

Deep Learning For Coders - Full notes and transcripts now available

courses

We’ve been so excited to watch the thousands of people working their way through part 1 of Practical Deep Learning For Coders, and the buzzing community that has formed…

Diversity and International Fellowships for Deep Learning Part 2

courses

Applications are now open for Deep Learning Part 2, to be offered at the University of San Francisco Data Institute on Monday evenings, Feb 27-April 10. The course will cover…

Practical Deep Learning Part 2 - Integrating Recent Advances and Classic Machine Learning

courses

With part 2 of our in person SF course starting in 6 weeks, and applications having just opened, we figured we better tell you a bit about what to expect!… So here’s an…

Big deep learning news: Google Tensorflow chooses Keras

technical

Buried in a Reddit comment, Francois Chollet, author of Keras and AI researcher at Google, made an exciting announcement: Keras will be the first high-level library added to…

Where is AI/ML actually adding value at your company?

ai-in-society

advice

An interesting thread came up over at Hacker News: Ask HN: Where is AI/ML actually adding value at your company?. And the folks at High Scalability were good enough to summar…

The Deep Learning MOOC is now available!

courses

We’re very excited and proud to announce the launch of the fast.ai Deep Learning MOOC. It contains all the lessons from the in-person course we’ve been discussing here over…

(Update - problem resolved!) Azure and AWS’s ‘GPU general availability’ lies

technical

Huge thanks to Boyd Mcgeachie from AWS for reaching out to us and organizing a (nearly) frictionless AWS onboarding experience for our MOOC participants. He couldn’t have…

So you are interested in deep learning

advice

This was inspired by a bright high school student that emailed me for advice about his interest in deep learning.

How should you structure your Data Science and Engineering teams?

advice

I sometimes receive emails asking for guidance related to data science, and I’m going to start sharing my answers here as a data science advice column. If you have a data…

It used to be called big data and now it’s called deep learning

technical

advice

At the Financial Times-Nikkei conference on The Future of AI, Robots, and Us a few weeks ago, Andreessen Horowitz partner Chris Dixon spoke just before Jeremy Howard and I…

Additional Diversity Fellowship, New International Fellowships, and Deadline Extended to 10/17

courses

We have been getting a lot of interest in our upcoming deep learning course over the last couple of days. With applications closing today, we’ve heard from USF that they…

New Electricity

ai-in-society

advice

I’ve been saying for some time that Deep Learning is going to be even more transformative than the internet. This view is shared by the always insightful Andrew Ng (Chief…

The Diversity Crisis in AI, and fast.ai Diversity Fellowship

ai-in-society

courses

Update: The deadline has been extended to 10/17. Read more here

What We Will Cover in the First Deep Learning Certificate

courses

For those of you considering joining our deep learning certificate, I’m sure you’d like to hear more about what we will be covering. This first course if part 1 of a two…

Jeremy Howard & Rachel Thomas

Providing a Good Education in Deep Learning

courses

education

Paul Lockhart, a Columbia math PhD, former Brown professor, and K-12 math teacher, writes in the influential essay A Mathematician’s Lament of a nightmare world where…

A unique path to deep learning expertise

courses

If you’re considering investing time in studying deep learning with fast.ai, then we want to give you all the information you need to decide whether you could benefit from…

The First Certificate in Deep Learning

courses

Update: The deadline has been extended to 10/17

Launching fast.ai

ai-in-society

Jeremy is the past president of Kaggle, founder of Enlitic, FastMail.FM, and Optimal Decisions Group, and is on the faculty at Singularity University. See fast.ai’s About page…