AdrienLE / dl_book_notes
☆60Updated 6 years ago
Alternatives and similar repositories for dl_book_notes:
Users that are interested in dl_book_notes are comparing it to the libraries listed below
- Neural networks from scratch☆108Updated 4 years ago
- ☆35Updated 5 years ago
- Files for Fast.ai part 2☆25Updated 7 years ago
- Machine learning algorithms☆112Updated 5 years ago
- ☆107Updated 6 years ago
- All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1☆69Updated 6 years ago
- Code for O'Reilly's "A Short Course on TensorFlow"☆103Updated 7 years ago
- Keras implementation of Deep Learning papers☆94Updated 6 years ago
- A curated list of Deep Learning resources sorted by reputation☆127Updated 6 years ago
- ☆52Updated 6 years ago
- This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).☆66Updated 6 years ago
- Project materials for RNN segment of AIND nanodegree☆51Updated 2 years ago
- My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2)☆36Updated 6 years ago
- This contains materials for the word embeddings workshop☆126Updated 7 years ago
- Implementation of different machine learning techniques☆94Updated 6 years ago
- Deliberate Practice for Learning Deep Learning☆109Updated 6 years ago
- Full Stack Deep Learning August 2018 Bootcamp Project (Public)☆40Updated 3 years ago
- ☆46Updated 2 years ago
- This is the code for "Neural Arithmetic Logic Units" By Siraj Raval on Youtube☆92Updated 6 years ago
- ☆17Updated 7 years ago
- This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube☆62Updated 5 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆79Updated 7 years ago
- my submissions for Siraj Raval's weekly challenges from The Math of Intelligence course.☆68Updated 7 years ago
- This is the code for "Navigating a Virtual World Using Dynamic Programming" by Siraj Raval on Youtube☆57Updated 7 years ago
- Contents covered in sessions of AI Saturdays (cycle 2) as well as relevant material for further study.☆29Updated 6 years ago
- This is the code for "The Future of Deep Learning Research" by Siraj Raval on Youtube☆93Updated 7 years ago
- Content for Udacity's Machine Learning curriculum☆10Updated 6 years ago
- ☆168Updated 6 years ago
- The machine learning library you really understand.☆31Updated last year
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆206Updated last year