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. |
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