Part 5/8:
Hidden Layers: Extract features and patterns from the data.
Output Layer: Produces the results based on processed inputs.
Cost Function and Gradient Descent
A crucial concept presented during the live stream was the cost function, which measures the model’s accuracy. The function helps communicate how well the network is performing against the expected outcome. If the output is far from the target, the function calculates the error and guides the adjustments needed.
Gradient descent was explained as the method through which the model iteratively corrects itself based on the slope produced by the cost function—a technique aimed at minimizing the error.