# 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.
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.
Timeseries classification from scratch Training a timeseries classifier from scratch on the FordA dataset from the UCR/UEA archive.
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.