Keras-Tutorials

Introduction to deep learning based on Keras framework. These tutorials are direct ports of nlintz's TensorFlow Tutorials.

Basic Topics (from nlint'z github)

Linear Regression (code, notebook)
Logistic Regression (code, notebook)
Feedforward Neural Network (Multilayer Perceptron) (code, notebook)
Deep Feedforward Neural Network (Multilayer Perceptron with 2 Hidden Layers O.o) (code, notebook)
Convolutional Neural Network (code, notebook)
Denoising Autoencoder (code, notebook)
Recurrent Neural Network (LSTM) (code, notebook)
Word2vec
TensorBoard (code, notebook)
Save and restore net (code, notebook)

Advanced Topics

Note

Deep Learning Glossary (for Korean) : This documentation is translated from blog post on wildml.com (with author's permission)

Dependencies

Name		Name	Last commit message	Last commit date
Latest commit History 43 Commits
.gitignore		.gitignore
01_linear_regression.ipynb		01_linear_regression.ipynb
01_linear_regression.py		01_linear_regression.py
02_logistic_regression.ipynb		02_logistic_regression.ipynb
02_logistic_regression.py		02_logistic_regression.py
03_net.ipynb		03_net.ipynb
03_net.py		03_net.py
04_modern_net.ipynb		04_modern_net.ipynb
04_modern_net.py		04_modern_net.py
05_convolution_net_by_DeepCognition.ai.py		05_convolution_net_by_DeepCognition.ai.py
05_convolutional_net.ipynb		05_convolutional_net.ipynb
05_convolutional_net.py		05_convolutional_net.py
06_autoencoder.ipynb		06_autoencoder.ipynb
06_autoencoder.py		06_autoencoder.py
07_lstm.ipynb		07_lstm.ipynb
07_lstm.py		07_lstm.py
09_tensorboard.ipynb		09_tensorboard.ipynb
09_tensorboard.py		09_tensorboard.py
10_save_restore_net.ipynb		10_save_restore_net.ipynb
10_save_restore_net.py		10_save_restore_net.py
DeepLearningGlossary.md		DeepLearningGlossary.md
README.md		README.md

tgjeon/Keras-Tutorials