Suppose you have a collection of digital photos you took on a trip to a zoo. You want to programmatically classify each photo as one of the 100 different kinds of animals you photographed: "aardvark," ...

An example of an image classification problem is to identify a photograph of an animal as a "dog" or "cat" or "monkey." The two most common approaches for image classification are to use a standard ...

Description: Text Classification on the IMDb Dataset using `keras_hub.layers.FNetEncoder` layer. (in the case of self-attention) to `O(n log n)`. * FNet manages to achieve 92-97% of the accuracy of ...

This project demonstrates how to build, train, and evaluate a neural network for image classification using the Keras library. The example leverages the MNIST dataset, a collection of handwritten ...