README.md 7.7 KB
Keras resources
This is a directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library.
If you have a high-quality tutorial or project to add, please open a PR.
Official starter resources
- keras.io - Keras documentation
- Getting started with the Sequential model
- Getting started with the functional API
- Keras FAQ
Tutorials
- Using pre-trained word embeddings in a Keras model
- Building powerful image classification models using very little data
- Building Autoencoders in Keras
- A complete guide to using Keras as part of a TensorFlow workflow
- Introduction to Keras, from University of Waterloo: video slides
- Introduction to Deep Learning with Keras, from CERN: video slides
- Installing Keras for deep learning
- Develop Your First Neural Network in Python With Keras Step-By-Step
- Understanding Stateful LSTM Recurrent Neural Networks in Python with Keras
- Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras
- Keras video tutorials from Dan Van Boxel
- Keras Deep Learning Tutorial for Kaggle 2nd Annual Data Science Bowl
Code examples
Working with text
- Reuters topic classification
- LSTM on the IMDB dataset (text sentiment classification)
- Bidirectional LSTM on the IMDB dataset
- 1D CNN on the IMDB dataset
- 1D CNN-LSTM on the IMDB dataset
- LSTM-based network on the bAbI dataset
- Memory network on the bAbI dataset (reading comprehension question answering)
- Sequence to sequence learning for performing additions of strings of digits
- LSTM text generation
- Using pre-trained word embeddings
Working with images
- Simple CNN on MNST
- Simple CNN on CIFAR10 with data augmentation
- Inception v3
- VGG 16 (with pre-trained weights)
- VGG 19 (with pre-trained weights)
- ResNet 50 (with pre-trained weights): 1 2
- FractalNet
- AlexNet, VGG 16, VGG 19, and class heatmap visualization
- Visual-Semantic Embedding
- Variational Autoencoder: with deconvolutions with upsampling
- Visual question answering
- Deep Networks with Stochastic Depth
- Smile detection with a CNN
- VGG-CAM
Creative visual applications
- Real-time style transfer
- Style transfer: 1 2
- Image analogies: Generate image analogies using neural matching and blending.
- Visualizing the filters learned by a CNN
- Deep dreams
- GAN / DCGAN: 1 2 3
Reinforcement learning
- DQN
- FlappyBird DQN
- async-RL: Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
Miscallenous architecture blueprints
Third-party libraries
- Elephas: Distributed Deep Learning with Keras & Spark
- Hyperas: Hyperparameter optimization
- Hera: in-browser metrics dashboard for Keras models
- Kerlym: reinforcement learning with Keras and OpenAI Gym
- Qlearning4K: reinforcement learning add-on for Keras
- seq2seq: Sequence to Sequence Learning with Keras
- Seya: Keras extras
- Keras Language Modeling: Language modeling tools for Keras
Projects built with Keras
- RocAlphaGo: An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search"
- DeepJazz: Deep learning driven jazz generation using Keras
- dataset-sts: Semantic Text Similarity Dataset Hub