Fundamentals of Neural Networks - Lab 2 - Introduction to CNN

The video tutorial covers the architecture of neural networks, focusing on feedforward and backward propagation. It introduces convolutional neural networks (CNNs), explaining convolution operations and filter applications. The tutorial guides viewers through building a CNN using TensorFlow and Keras, detailing the steps to design, compile, train, and evaluate the model. The video emphasizes understanding the data, model architecture, and performance evaluation.

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