goodfeli / dlbook_exercisesLinks
Exercises for the Deep Learning textbook at www.deeplearningbook.org
☆1,372Updated 3 years ago
Alternatives and similar repositories for dlbook_exercises
Users that are interested in dlbook_exercises are comparing it to the libraries listed below
Sorting:
- Exercises for my tutorials on Theano☆685Updated 9 years ago
- LaTeX files for the Deep Learning book notation☆1,786Updated 2 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆1,965Updated last month
- Teaching materials for the machine learning and deep learning classes at Stanford and Cornell☆1,122Updated 4 years ago
- A Course in Machine Learning☆902Updated 2 years ago
- IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)☆560Updated last year
- Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial☆2,621Updated 4 years ago
- Code companion to the O'Reilly "Fundamentals of Deep Learning" book☆658Updated 2 years ago
- Light your way in Deep Learning with Torch 🔦☆596Updated 8 years ago
- My solutions to Kevin Murphy Machine Learning Book☆541Updated 4 years ago
- A collection of video resources for machine learning☆1,547Updated 4 years ago
- Machine learning course materials.☆573Updated last year
- Repo for the Deep Learning Nanodegree Foundations program.☆4,047Updated last year
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,784Updated 5 years ago
- Topics Course on Deep Learning UC Berkeley☆1,301Updated 7 years ago
- Various tutorials given for welcoming new students at MILA.☆986Updated 7 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,802Updated 4 years ago
- The Hitchiker's Guide to PyTorch☆1,197Updated 3 years ago
- ☆830Updated last year
- Deep Learning Study Group☆323Updated 4 years ago
- Probabilistic Modeling Toolkit for Matlab/Octave.☆1,562Updated 4 years ago
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆545Updated 2 years ago
- ☆462Updated last year
- A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017☆887Updated 7 years ago
- Summaries of machine learning papers☆2,506Updated 4 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆275Updated 7 years ago
- A living collection of deep learning problems☆1,717Updated last year
- This is the Syllabus for Siraj Raval's new course "The Math of Intelligence"☆395Updated 7 years ago
- Google Cloud tutorial and setup☆494Updated 4 years ago
- Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…☆259Updated 8 years ago