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.

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

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

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

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