Deep Learning Books, Tutorials, and Courses

Free Course in Deep Learning

• Coursera: Reinforcement Learning

• Yann Le Cun Pytorch Deep Learning, Youtube, Github

• Python ML Course License: MIT

• TensorFlow, Keras and deep learning, without a PhD, Github License: Apache

• Deep Learning with Tensorflow License: Apache

• mrdbourke/tensorflow-deep-learning: All course materials for the Zero to Mastery Deep Learning with TensorFlow course. License: MIT

Open Licensed Deep Learning Books and Tutorials

• Deep Learning with Keras and Tensorflow License: MIT

• Practical Deep Learning for Coders GitHub License: Apache

• Dive into Deep Learning, Github License: CC-BY

• Spinning Up in Deep RL, GitHub License: MIT

CC-BY-NC Deep Learning Books and Tutorials

• Neural Networks and Deep Learning Code at Github License: CC-BY-NC

Free Deep Learning Books and Tutorials

• Deep Learning with PyTorch

• Deep Learning Project License: -

• Code for Deep Learning Book

• Samuel Sena : Deep Learning Tutorial in Indonesian

List of Deep Learning Books

• List Data Science Deep Learning Python

Deep Learning Tutorial

• Dataflowr - Deep Learning DIY

Visualization

• ConvNetJS: Deep Learning in your browser

• A Neural Network Playground

eBook

• Introduction - The Mathematical Engineering of Deep Learning

• Full Stack Deep Learning - Full Stack Deep Learning

• Dive into Deep Learning—Dive into Deep Learning 0.16.1 documentation

Machine Learning

• Machine Learning Crash Course - Google Developers

• Courses List Google Digital Garage

• Notes on machine learning

• karpathy/convnetjs: Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser. Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

• MIT Deep Learning 6.S191

• Demystifying Deep Learning Primer

• FrancescoSaverioZuppichini/glasses: High-quality Neural Networks for Computer Vision 😎

• Ground AI Our mission is to increase AI scholarly communication

• khanhnamle1994/applied-machine-learning: A step-by-step guide to get started with Applied Machine Learning

• google/applied-machine-learning-intensive: Applied Machine Learning Intensive Bangkit

• tfolkman/byu_econ_applied_machine_learning: The course work for the applied machine learning course I am teaching at BYU

• amitkaps/applied-machine-learning: Applied Machine Learning @ http://amitkaps.com/ml

Machine Learning Course

• COMS W4995 Applied Machine Learning Spring 2019 - Schedule - Andreas C. Müller - Associate Research Scientist, amueller/COMS4995-s19: COMS W4995 Applied Machine Learning - Spring 19 License: CC0

Learning NN

• Autotelic Computing: Neural Network 101

• Everything you need to know about Neural Networks and Backpropagation—Machine Learning Easy and Fun - by Gavril Ognjanovski - Towards Data Science

• Δ ℚuantitative √ourney - Gradient Descent with Backpropagation

• Neural Networks: Feedforward and Backpropagation Explained

• How to Train Neural Networks With Backpropagation « The blog at the bottom of the sea

• Rohan & Lenny Neural Networks & The Backpropagation Algorithm, Explained - by Rohan Kapur - A Year of Artificial Intelligence

• Backpropagation Tutorial - Manfred Zabarauskas' Blog

• A Visual Tour of Backpropagation

Machine Learning

• Machine Learning for Everyone

• Vas3k : good blog

• Neural Network Zoo

• GPU Benchmarks for Deep Learning - Lambda

• Introduction to Computer Science and Programming Using Python - edX

• DALL·E: Creating Images from Text

• CLIP: Connecting Text and Images

• lucko515/cnn-raccoon: Create interactive dashboards for your Convolutional Neural Networks with a single line of code!

• Ecco - Look Inside Language Models

Deep Learning References

Books

• Deep Learning, Ian Goodfellow and others

• Neural Networks and Deep Learning, Michael Nielsen

Courses

• cs231n.github.io

• Berkeley deep RL course

• CS 598 LAZ

Guides to deep learning

• A guide to deep learning by YerevaNN research labs

• Unsupervised feature learning and deep learning tutorial, amaas/stanford_dl_ex: Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

• Most cited deep learning papers

Tutorials, blogs, demos

• Convolution arithmetic tutorial: web, arXiv

• TensorFlow Playground

• http://distill.pub/

• http://karpathy.github.io/

• Arun's dilation demo

• Arun's explanation of LSTM Forward-Backward passes

• Mixture Density Network tensorflow

Deep Learning

• DEEP LEARNING · Deep Learning

Machine Learning: Blog

• Rahmadya Trias Handayanto - "Just for a little kindness"