Python for Deep Learning - Build Neural Networks in Python - Importing Libraries

The video tutorial introduces the implementation of a Convolutional Neural Network (CNN) in Python using the Keras library. It begins by importing necessary libraries and datasets, such as MNIST, and explains the use of the Sequential model for building the CNN. The tutorial covers the import of various layers like Conv2D, MaxPool2D, Flatten, Dropout, and Dense, which are essential for constructing the CNN. The video concludes with a brief overview of the imports and mentions that the usage of these libraries will be explained in upcoming lectures.

Describe the role of conv2D in the construction of a convolutional neural network.

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What will be explained in the upcoming lectures regarding the libraries used for CNN?

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