Python for Deep Learning - Build Neural Networks in Python - Building the CNN Model

The video tutorial covers loading and reshaping the MNIST dataset, normalizing pixel values, and building a convolutional neural network (CNN) model. It explains the process of defining the model with convolutional and pooling layers, compiling it using sparse categorical cross entropy, and fitting the model to the dataset. The tutorial provides a step-by-step guide to preparing data and constructing a CNN for image classification tasks.

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