janishar / mit-deep-learning-book-pdfLinks
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
☆13,509Updated last year
Alternatives and similar repositories for mit-deep-learning-book-pdf
Users that are interested in mit-deep-learning-book-pdf are comparing it to the libraries listed below
Sorting:
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆18,363Updated 5 years ago
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆26,552Updated 11 months ago
- The fastai deep learning library☆27,321Updated last week
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆39,216Updated 2 years ago
- Exercises for the Deep Learning textbook at www.deeplearningbook.org☆1,376Updated 3 years ago
- NYU Deep Learning Spring 2020☆6,773Updated last month
- Public facing notes page☆10,554Updated 2 months ago
- Companion webpage to the book "Mathematics For Machine Learning"☆14,382Updated 5 months ago
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆19,396Updated last week
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,366Updated 4 years ago
- PyTorch tutorials.☆8,730Updated last week
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆23,309Updated last week
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dm…☆9,520Updated 2 years ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆12,034Updated 2 weeks ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,550Updated last year
- Tutorials, assignments, and competitions for MIT Deep Learning related courses.☆10,341Updated last year
- A curated list of awesome Deep Learning tutorials, projects and communities.☆25,986Updated 2 months ago
- The most cited deep learning papers☆25,934Updated last year
- Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning☆2,664Updated 2 years ago
- A collection of various deep learning architectures, models, and tips☆17,161Updated last year
- Simple examples to introduce PyTorch☆4,814Updated 3 years ago
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,626Updated 5 years ago
- TensorFlow Tutorials with YouTube Videos☆9,277Updated 4 years ago
- Book about interpretable machine learning☆5,056Updated 4 months ago
- LaTeX files for the Deep Learning book notation☆1,786Updated 2 years ago
- Machine learning glossary☆3,082Updated last year
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆6,858Updated 8 months ago
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆16,045Updated last year
- Code samples for my book "Neural Networks and Deep Learning"☆16,933Updated last year
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,656Updated 9 months ago