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High-performance image generation using Stable Diffusion in KerasCV

TensorFlow Tutorials

Overview In this guide, we will show how to generate novel images based on a text prompt using the KerasCV implementation of stability.ai 's text-to-image model, Stable Diffusion . Stable Diffusion is...

Transfer learning for video classification with MoViNet

TensorFlow Tutorials

MoViNets (Mobile Video Networks) provide a family of efficient video classification models, supporting inference on streaming video. In this tutorial, you will use a pre-trained MoViNet model to class...

Warm-start embedding layer matrix

TensorFlow Tutorials

This tutorial shows how to "warm-start" training using the tf.keras.utils.warmstart_embedding_matrix API for text sentiment classification when changing vocabulary. You will begin by training a simple...

Video classification with a 3D convolutional neural network (CNN)

TensorFlow Tutorials

This tutorial demonstrates training a 3D convolutional neural network for video classification using the UCF101 action recognition dataset. A 3D CNN uses a three dimensional filter to perform convolut...

Load video data

TensorFlow Tutorials

This tutorial demonstrates how to load and preprocess AVI video data using the UCF101 human action dataset . Once you have preprocessed the data, it can be used for such tasks as video classification/...

Neural machine translation with a Transformer and Keras

TensorFlow Tutorials

This tutorial demonstrates how to create and train a sequence-to-sequence Transformer model to translate Portuguese into English . Most of the components are built with high-level Keras and low-level ...

Scalable model compression

TensorFlow Tutorials

Overview This notebook shows how to compress a model using TensorFlow Compression . In the example below, we compress the weights of an MNIST classifier to a much smaller size than their floating poin...

TensorFlow Hub Object Detection Colab

TensorFlow Tutorials

Welcome to the TensorFlow Hub Object Detection Colab! This notebook will take you through the steps of running an "out-of-the-box" object detection model on images. More models This collection contain...

Overfit and underfit

TensorFlow Tutorials

As always, the code in this example will use the tf.keras API, which you can learn more about in the TensorFlow Keras guide . In both of the previous examples— classifying text and predicting fuel eff...

Basic text classification

TensorFlow Tutorials

This tutorial demonstrates text classification starting from plain text files stored on disk. You'll train a binary classifier to perform sentiment analysis on an IMDB dataset. At the end of the noteb...

Save and load models

TensorFlow Tutorials

Model progress can be saved during and after training. This means a model can resume where it left off and avoid long training times. Saving also means you can share your model and others can recreate...

Basic regression: Predict fuel efficiency

TensorFlow Tutorials

In a regression problem, the aim is to predict the output of a continuous value, like a price or a probability. Contrast this with a classification problem, where the aim is to select a class from a l...