Project Neural Network

The video tutorial explains how to use Keras with TensorFlow to build a neural network for classifying handwritten digits. It covers the installation of necessary libraries, data preparation, and preprocessing. The tutorial demonstrates building a simple neural network using the Sequential Model API, training it, and evaluating its performance. It also discusses adding hidden layers to improve accuracy and analyzing predictions using a confusion matrix.

What is the role of the activation function in a neural network?

Explain the process of training a neural network and what an epoch means.

What is a confusion matrix and how is it useful in evaluating a model?

Discuss the impact of adding a hidden layer to the neural network.