Machine learning / AI

• Unleash your AI to “rule” the StarCraft II (on macOS)
• Artificial Intelligence (AI) vs. Machine Learning vs. Deep Learning
• Hacker’s guide to Neural Networks (Andrej Karpathy)
• Demystifying Deep Reinforcement Learning (2015)
• Q-Learning with Tables and Neural Networks
• Gradient Descent in a Nutshell
• Understanding the Mathematics behind Gradient Descent
• Machine learning fundamentals (I): Cost functions and gradient descent
• A Step by Step Backpropagation Example
• Deep Reinforcement Learning Doesn’t Work Yet by Alex Irpan 2018
• DIY Deep Learning for Vision: a Hands-On Tutorial with Caffe (google doc)
• DIY Deep Learning Machine - Titan X
• The mind-blowing AI announcement from Google that you probably missed
• Wired for memory: how your brain remembers by completing patterns
• The world through the eyes of a self-driving car
• Deep Learning with Elixir
• How Machines Make Sense of Big Data: an Introduction to Clustering Algorithms
• Machine Learning in a Week
• Introduction to Artificial Neural Networks - Part 1
• I visualized the data from every single game of Hearthstone I played
• Machine Learning is Fun
• API Best Practices: Hypermedia (Part 1)
• Open sourcing TRFL: a library of RL building blocks
• OpenAI Baselines: DQN
• GAN 2.0: NVIDIA’s Hyperrealistic Face Generator
• Artificial intelligence is helping old video games look like new
• Understanding binary cross-entropy / log loss: a visual explanation
• Derivative of the Sigmoid function
• A Practical Guide to ReLU
• Let’s code a Neural Network in plain NumPy
• How to create a Neural Network in JavaScript in only 30 lines of code
• macOS Mojave: Install TensorFlow and Keras for Deep Learning
• Reproducing Japanese Anime Styles With CartoonGAN AI
• Unsupervised learning: the curious pupil
• Which GPU(s) to Get for Deep Learning (Updating)
• How HBO’s Silicon Valley built “Not Hotdog” with mobile TensorFlow, Keras & React Native
• Why One-Hot Encode Data in Machine Learning?
• Deep Dive into Math Behind Deep Networks
• Chapter 7 : Artificial neural networks with Math
• An introduction to building and training a neural network from scratch in Keras
• Perceptron Learning Algorithm: A Graphical Explanation Of Why It Works
• ML Cheatsheet: Loss Functions
• Supervised Learning and Naive Bayes Classification
• SVM (Support Vector Machine)
• Nvidia Jetson Nano: the Raspberry Pi of AI?
• Gentle Introduction to Vector Norms in Machine Learning
• Deep Learning on a Mac with AMD GPU
• Picking a GPU for Deep Learning. Buyer’s guide
• Tesla V100 vs RTX 2080 Ti vs GTX 1080 Ti vs Titan V
• Predicting Stock Price with LSTM
• The Unreasonable Effectiveness of Recurrent Neural Networks. A.Karpathy
• Software 2.0 A.Karpathy
• AlphaGo, in context (A.Karpathy 2017)
• Meta-learning neural Bloom filters
• Google Brain Residency (Ryan Dahl)
• A Recipe for Training Neural Networks (A.Karpathy 2019)