Deep Learning - Crash Course 2023 - Implementing Multi-Class Classification Using Keras

This video tutorial covers solving a multiclass classification problem using the MNIST dataset. It explains how to load and explore the dataset, preprocess the data by flattening and scaling, and build a neural network using Keras. The tutorial also demonstrates training the model and evaluating its performance, achieving high accuracy.

Discuss the significance of scaling input values between zero and one.

What is the expected output shape of the training labels after one-hot encoding?

Summarize the steps taken to build and compile the neural network.

What is the final accuracy achieved by the model on the test data?