Create a computer vision system using decision tree algorithms to solve a real-world problem : Code to Train a perceptro

The video tutorial covers training a simple perception network, starting with data loading and network building. It explains model compilation using binary cross entropy and the Adam optimizer, followed by training and evaluation. The tutorial concludes with visualization of results and a discussion on weights and biases.

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