Home ยป Tutorials

Training a Classifier

An adaptation of TRAINING A CLASSIFIER In this tutorial, we will train a Convolutional Neural Network (CNN) to classify images. We will start with CPU training, and then continue to make … Read more

Convolutional Neural Network (CNN)

An adaptation of Convolutional Neural Network (CNN) This tutorial demonstrates training a simple Convolutional Neural Network (CNN) to classify CIFAR images. Because this tutorial uses the Keras Sequential API, creating and training your model will … Read more

Mixed precision

An adaptation of TensorFlow Mixed precision tutorial This tutorial demonstrates enabling mixed-precision training for Keras models. You can find the full guide of TensorFlow Mixed Precision Training on Gaudi here. Overview … Read more

Quick Start

An adaptation of PyTorch Quickstart tutorial. This tutorial, demonstrates how to migrate an existing PyTorch workload to Gaudi. The migration requires only loading the Habana PyTorch plugin library. This section runs … Read more

Image classification

This tutorial shows how to classify images of flowers. It creates an image classifier using a keras.Sequential model, and loads data using preprocessing.image_dataset_from_directory. You will gain practical experience with the following concepts: Efficiently … Read more

Sign up for the latest Habana developer news, events, training, and updates.