Examples

Title	Description
Convolutional LSTM network	Demonstrates the use of a convolutional LSTM network.
DCGAN to generate face images	A simple DCGAN trained using `fit()` by overriding `train_step` on CelebA images.
Deep Dream	Generating Deep Dreams with Keras.
Image Captioning	Implement an image captioning model using a CNN and a Transformer.
Image classification from scratch	Training an image classifier from scratch on the Kaggle Cats vs Dogs dataset.
Imbalanced classification: credit card fraud detection	Demonstration of how to handle highly imbalanced classification problems.
Sequence to sequence learning for performing number addition	Implementation of sequence to sequence learning for performing addition of two numbers (as strings).
Simple CNN on CIFAR10 dataset	Trains a simple deep CNN on the CIFAR10 small images dataset.
Text classification from scratch	Text sentiment classification starting from raw text files.
Timeseries classification from scratch	Training a timeseries classifier from scratch on the FordA dataset from the UCR/UEA archive.
Timeseries classification with a Transformer model	This notebook demonstrates how to do timeseries classification using a Transformer model.
Trains a memory network on the bAbI dataset	Trains a memory network on the bAbI dataset for reading comprehension.
Trains a two-branch recurrent network on the bAbI dataset	Trains a two-branch recurrent network on the bAbI dataset for reading comprehension.