rasbt / deep-learning-bookLinks
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
☆2,816Updated 5 years ago
Alternatives and similar repositories for deep-learning-book
Users that are interested in deep-learning-book are comparing it to the libraries listed below
Sorting:
- Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library☆3,261Updated last year
- Introduction to Deep Neural Networks with Keras and Tensorflow☆2,973Updated 2 years ago
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,959Updated 9 years ago
- Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.☆4,443Updated 2 years ago
- A collection of IPython notebooks covering various topics.☆2,610Updated 5 years ago
- A collection of video resources for machine learning☆1,553Updated 4 years ago
- fast.ai Courses☆5,706Updated last year
- Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.☆1,829Updated 3 years ago
- Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.☆3,194Updated 6 years ago
- Implementations of CNNs, RNNs, GANs, etc☆1,060Updated 7 years ago
- Deep Learning tutorials in jupyter notebooks.☆1,812Updated 2 years ago
- Summaries and notes on Deep Learning research papers☆4,418Updated 7 years ago
- Demo of running NNs across different frameworks☆1,656Updated 3 years ago
- A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks☆4,209Updated 2 years ago
- A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.☆1,043Updated 7 years ago
- Topics Course on Deep Learning UC Berkeley☆1,304Updated 8 years ago
- Deep Learning Tutorial notes and code. See the wiki for more info.☆4,152Updated 5 years ago
- A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017☆887Updated 8 years ago
- Learning to Learn in TensorFlow☆4,070Updated 4 years ago
- Python coded examples and documentation of machine learning algorithms.☆610Updated 5 years ago
- Notes for Fastai Deep Learning Course☆1,127Updated 10 months ago
- Machine Learning Problem Bible | Problem Set Here >>☆715Updated 6 years ago
- Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.☆1,294Updated 10 years ago
- From the basics to slightly more interesting applications of Tensorflow☆5,669Updated 4 years ago
- Various tutorials given for welcoming new students at MILA.☆986Updated 7 years ago
- ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ …☆1,483Updated 6 years ago
- Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way☆1,460Updated 8 years ago
- Summaries of machine learning papers☆2,504Updated 5 years ago
- An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)☆3,864Updated 6 years ago
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,567Updated last year