Deep Learning - Crash Course 2023 - Class Sigmoid

The video tutorial covers the implementation of a sigmoid neuron class, including methods for initialization, prediction, loss calculation, and accuracy assessment. The tutorial demonstrates how to calculate the weighted sum, predict outputs, compute mean squared error loss, and visualize loss reduction. It also explains binary classification by mapping outputs to binary values and calculating accuracy using the SKLN library. The tutorial concludes with running the model and observing improvements in accuracy.

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