About this document
Perceptron Model with TensorFlow/Keras by sfaritha is a document available to read on EtoBox.
This document outlines the steps to implement a Perceptron model using TensorFlow/Keras on the MNIST dataset. It includes importing libraries, loading and preprocessing the dataset, defining the model architecture, compiling, training, and evaluating the model. The expected output shows the training progress and final test accuracy.
- Author
- sfaritha
- Language
- EN