<H1> fast.ai—Making neural nets uncool again </H1> |
<H3> Blog </H3> |
<H3>
A new old kind of R&D lab
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<H3>
Can LLMs learn from a single example?
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<H3>
AI and Power: The Ethical Challenges of Automation, Centralization, and Scale
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<H3>
AI Safety and the Age of Dislightenment
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<H3>
Is Avoiding Extinction from AI Really an Urgent Priority?
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<H3>
Mojo may be the biggest programming language advance in decades
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From Deep Learning Foundations to Stable Diffusion
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GPT 4 and the Uncharted Territories of Language
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<H3>
I was an AI researcher. Now, I am an immunology student.
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1st Two Lessons of From Deep Learning Foundations to Stable Diffusion
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Deep Learning Foundations Signup, Open Source Scholarships, & More
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From Deep Learning Foundations to Stable Diffusion
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My family’s unlikely homeschooling journey
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<H3>
The Jupyter+git problem is now solved
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<H3>
nbdev+Quarto: A new secret weapon for productivity
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<H3>
Practical Deep Learning for Coders 2022
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<H3>
Masks for COVID: Updating the evidence
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<H3>
Qualitative humanities research is crucial to AI
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<H3>
AI Harms are Societal, Not Just Individual
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<H3>
There’s no such thing as not a math person
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<H3>
7 Great Lightning Talks Related to Data Science Ethics
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Doing Data Science for Social Good, Responsibly
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<H3>
Avoiding Data Disasters
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<H3>
SARS-CoV-2 Spike Protein Impairment of Endothelial Function Does Not Impact Vaccine Safety
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Statistical problems found when studying Long Covid in kids
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Medicine is Political
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<H3>
Inaccuracies, irresponsible coverage, and conflicts of interest in The New Yorker
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<H3>
Australia can, and must, get R under 1.0
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<H3>
11 Short Videos About AI Ethics
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<H3>
Getting Specific about AI Risks (an AI Taxonomy)
</H3> |
<H3>
fastai A Layered API for Deep Learning
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<H3>
fastdownload: the magic behind one of the famous 4 lines of code
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<H3>
Is GitHub Copilot a blessing, or a curse?
</H3> |
<H3>
fastchan, a new conda mini-distribution
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<H3>
20 Years of Tech Startup Experiences in One Hour
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<H3>
I violated a code of conduct
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<H3>
Avoiding the smoke - how to breath clean air
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<H3>
fast.ai releases new deep learning course, four libraries, and 600-page book
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<H3>
Forward from the ‘Deep Learning for Coders’ Book
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<H3>
Applied Data Ethics, a new free course, is essential for all working in tech
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<H3>
Essential Work-From-Home Advice: Cheap and Easy Ergonomic Setups
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<H3>
Cloth masks can protect the wearer
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<H3>
Particle sizes for mask filtration
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<H3>
Introducing the first cohort of USF CADE Data Ethics Research Fellows
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<H3>
Masks - FAQ for Skeptics
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<H3>
Masks for all? The science says yes.
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<H3>
6 Important Videos about Tech, Ethics, Policy, and Government
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<H3>
Saving The Mask
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<H3>
Covid-19, your community, and you - a data science perspective
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<H3>
Disinformation: what it is, why it’s pervasive, and proposed regulations
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<H3>
Tech Ethics Crisis: The Big Picture, and How We Got Here
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<H3>
4 Principles for Responsible Government Use of Technology
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<H3>
Blogging with Jupyter Notebooks
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Your own blog with GitHub Pages and fast_template (4 part tutorial)
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Blogging with screenshots
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<H3>
Syncing your blog with your PC, and using your word processor
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<H3>
Your own hosted blog, the easy, free, open way (even if you’re not a computer expert)
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<H3>
Self-supervised learning and computer vision
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<H3>
Data project checklist
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<H3>
nbdev: use Jupyter Notebooks for everything
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Concerned about the impacts of data misuse? Ways to get involved with the USF Center for Applied Data Ethics
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<H3>
The problem with metrics is a big problem for AI
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<H3>
8 Things You Need to Know about Surveillance
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<H3>
Make Delegation Work in Python
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<H3>
USF Launches New Center of Applied Data Ethics
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<H3>
new fast.ai course: A Code-First Introduction to Natural Language Processing
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<H3>
Deep Learning from the Foundations
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<H3>
A LaTeX add-in for PowerPoint - my father’s day project
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<H3>
Was this Google Executive deeply misinformed or lying in the New York Times?
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<H3>
Advice for Better Blog Posts
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<H3>
Decrappification, DeOldification, and Super Resolution
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<H3>
16 Things You Can Do to Make Tech More Ethical, part 3
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<H3>
16 Things You Can Do to Make Tech More Ethical, part 2
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<H3>
16 Things You Can Do to Make Tech More Ethical, part 1
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<H3>
fast.ai Embracing Swift for Deep Learning
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<H3>
A Conversation about Tech Ethics with the New York Times Chief Data Scientist
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<H3>
Dairy farming, solar panels, and diagnosing Parkinson’s disease: what can you do with deep learning?
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<H3>
fastec2: AWS computer management for regular folks
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<H3>
Some thoughts on zero-day threats in AI, and OpenAI’s GPT-2
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fastec2 script: Running and monitoring long-running tasks
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<H3>
Five Things That Scare Me About AI
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<H3>
fast.ai Diversity Fellows and Sponsors Wanted
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<H3>
Practical Deep Learning for Coders 2019
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<H3>
C++11, random distributions, and Swift
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<H3>
High Performance Numeric Programming with Swift: Explorations and Reflections
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<H3>
One year of deep learning
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<H3>
The new fast.ai research datasets collection, on AWS Open Data
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<H3>
fastai v1 for PyTorch: Fast and accurate neural nets using modern best practices
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<H3>
Introduction to Machine Learning for Coders: Launch
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<H3>
AI Ethics Resources
</H3> |
<H3>
What You Need to Know Before Considering a PhD
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<H3>
Practical Deep Learning for Coders, part-time Diversity Fellowships, Fall 2018
</H3> |
<H3>
Now anyone can train Imagenet in 18 minutes
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<H3>
What HBR Gets Wrong About Algorithms and Bias
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<H3>
Google’s AutoML: Cutting Through the Hype
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<H3>
An Opinionated Introduction to AutoML and Neural Architecture Search
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<H3>
What do machine learning practitioners actually do?
</H3> |
<H3>
AdamW and Super-convergence is now the fastest way to train neural nets
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<H3>
Launching Cutting Edge Deep Learning for Coders: 2018 edition
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Training Imagenet in 3 hours for USD 25; and CIFAR10 for USD 0.26
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<H3>
An Introduction to Deep Learning for Tabular Data
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<H3>
What you need to know about Facebook and Ethics
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<H3>
A Discussion about Accessibility in AI at Stanford
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<H3>
Adding Data Science to your College Curriculum
</H3> |
<H3>
Practical Deep Learning for Coders 2018
</H3> |
<H3>
International Fellowship applications for Part 2 now open
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<H3>
New Opportunities For New Deep Learning Practitioners
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<H3>
Five Trends to Avoid When Founding a Startup
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<H3>
Deep Learning Diversity Fellowship Applications Now Open
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<H3>
Making Peace with Personal Branding
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<H3>
What you need to do deep learning
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<H3>
How (and why) to create a good validation set
</H3> |
<H3>
When Data Science Destabilizes Democracy and Facilitates Genocide
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<H3>
Credible sources of accurate information about AI
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<H3>
Can Neural Nets Detect Sexual Orientation? A Data Scientist’s Perspective
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<H3>
Introducing Pytorch for fast.ai
</H3> |
<H3>
International Fellowship applications for Part 1 now open
</H3> |
<H3>
Notes on state of the art techniques for language modeling
</H3> |
<H3>
Advice to Medical Experts Interested in AI
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<H3>
Sponsor a Deep Learning Diversity Scholarship
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<H3>
Diversity Crisis in AI, 2017 edition
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<H3>
Announcing fast.ai diversity scholarships
</H3> |
<H3>
Cutting Edge Deep Learning for Coders: Launching Deep Learning Part 2
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<H3>
Thoughts on OpenAI, reinforcement learning, and killer robots
</H3> |
<H3>
New fast.ai course: Computational Linear Algebra
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<H3>
How to Encourage Your Child’s Interest in Science and Tech
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<H3>
Alternatives to a Degree to Prove Yourself in Deep Learning
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<H3>
To become a data scientist, focus on coding
</H3> |
<H3>
Machine learning hasn’t been commoditized yet, but that doesn’t mean you need a PhD
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<H3>
How to change careers and become a data scientist - one quant’s experience
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<H3>
Deep Learning: Not Just for Silicon Valley
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<H3>
Deep Learning For Coders - Full notes and transcripts now available
</H3> |
<H3>
Diversity and International Fellowships for Deep Learning Part 2
</H3> |
<H3>
Practical Deep Learning Part 2 - Integrating Recent Advances and Classic Machine Learning
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<H3>
Big deep learning news: Google Tensorflow chooses Keras
</H3> |
<H3>
Where is AI/ML actually adding value at your company?
</H3> |
<H3>
The Deep Learning MOOC is now available!
</H3> |
<H3>
(Update - problem resolved!) Azure and AWS’s ‘GPU general availability’ lies
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<H3>
So you are interested in deep learning
</H3> |
<H3>
How should you structure your Data Science and Engineering teams?
</H3> |
<H3>
It used to be called big data and now it’s called deep learning
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<H3>
Additional Diversity Fellowship, New International Fellowships, and Deadline Extended to 10/17
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<H3>
New Electricity
</H3> |
<H3>
The Diversity Crisis in AI, and fast.ai Diversity Fellowship
</H3> |
<H3>
What We Will Cover in the First Deep Learning Certificate
</H3> |
<H3>
Providing a Good Education in Deep Learning
</H3> |
<H3>
A unique path to deep learning expertise
</H3> |
<H3>
The First Certificate in Deep Learning
</H3> |
<H3>
Launching fast.ai
</H3> |
<H5> Categories </H5> |
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