mnielsen / neural-networks-and-deep-learningLinks
Code samples for my book "Neural Networks and Deep Learning"
☆17,024Updated last year
Alternatives and similar repositories for neural-networks-and-deep-learning
Users that are interested in neural-networks-and-deep-learning are comparing it to the libraries listed below
Sorting:
- neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support☆2,816Updated last year
- Code samples for my book "Neural Networks and Deep Learning"☆330Updated last year
- Deep Learning for humans☆63,402Updated this week
- Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays…☆9,958Updated last year
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆20,826Updated last year
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,631Updated last year
- An Open Source Machine Learning Framework for Everyone☆191,630Updated this week
- A toolkit for developing and comparing reinforcement learning algorithms.☆36,492Updated 11 months ago
- Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial☆2,623Updated 4 years ago
- scikit-learn: machine learning in Python☆63,330Updated this week
- Caffe: a fast open framework for deep learning.☆34,568Updated last year
- Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.☆4,448Updated 2 years ago
- TensorFlow-based neural network library☆9,885Updated last month
- Keras code and weights files for popular deep learning models.☆7,347Updated 4 years ago
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,373Updated 4 years ago
- Deep learning library featuring a higher-level API for TensorFlow.☆9,622Updated last year
- Public facing notes page☆10,594Updated last week
- Deep Learning Tutorial notes and code. See the wiki for more info.☆4,142Updated 4 years ago
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆19,478Updated last week
- The most cited deep learning papers☆25,968Updated last year
- Models and examples built with TensorFlow☆77,638Updated 2 weeks ago
- TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...☆4,477Updated last week
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆17,502Updated 6 months ago
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆27,355Updated this week
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,719Updated last year
- Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.☆16,466Updated 2 years ago
- Caffe2 is a lightweight, modular, and scalable deep learning framework.☆8,412Updated 2 years ago
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆39,260Updated 2 years ago
- A simple Python script showing how the backpropagation algorithm works.☆1,074Updated 8 months ago
- MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville☆13,583Updated last year