antonvladyka / neuralnetworksanddeeplearning.com.pdf
LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)
☆275Updated 3 years ago
Alternatives and similar repositories for neuralnetworksanddeeplearning.com.pdf:
Users that are interested in neuralnetworksanddeeplearning.com.pdf are comparing it to the libraries listed below
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆265Updated 4 years ago
- Deep Learning with PyTorch, published by Packt☆457Updated 2 years ago
- Statistical Learning Theory (CS229T) Lecture Notes☆719Updated 5 years ago
- Site web of the Mathematical Tours☆495Updated 2 months ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆133Updated 4 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆493Updated 6 years ago
- Lectures for INFO8006 Introduction to Artificial Intelligence, ULiège☆388Updated last month
- Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book☆298Updated 5 years ago
- IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)☆552Updated last year
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆525Updated 5 years ago
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆595Updated 5 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆150Updated 3 years ago
- ☆814Updated 10 months ago
- Exercises for the Deep Learning textbook at www.deeplearningbook.org☆1,334Updated 2 years ago
- Explaining the Math of how neural networks learn☆374Updated 5 years ago
- Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)☆937Updated last year
- Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforce…☆178Updated 5 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆273Updated 6 years ago
- A curated list of awesome Machine Learning Papers, Repositories☆79Updated 7 years ago
- Lectures for INFO8010 Deep Learning, ULiège☆1,230Updated last week
- Deep learning course CE7454, 2019☆189Updated 5 years ago
- Machine learning course materials.☆573Updated last year
- lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"☆149Updated 5 years ago
- Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course☆654Updated 4 years ago
- ☆189Updated last year
- ☆220Updated 3 years ago
- Resources for "Introduction to Deep Learning" course.☆760Updated 4 years ago
- Stanford Machine Learning course exercises implemented with scikit-learn☆344Updated 4 years ago
- MIT 6.034 Artificial Intelligence☆33Updated 6 years ago
- Deprecated: See APEXCalculusV5☆59Updated 5 years ago