Introduction In this tutorial we will build a deep learning model to classify words. We will use tfdatasets to handle data IO and pre-processing, and Keras to build and train the model. We will use the Speech Commands dataset which consists of 65.000 one-second audio files of people saying 30 different words. ...

Overview In this post we will train an autoencoder to detect credit card fraud. We will also demonstrate how to train Keras models in the cloud using CloudML. The basis of our model will be the Kaggle Credit Card Fraud Detection dataset, whic...