Neural networks pose a challenge when it comes to training

Training a neural network requires utilizing training data to modify the model's weights to produce an accurate correlation between inputs and outputs.

This is achieved through the use of an optimization algorithm, which explores a range of possible values for the model's weights and aims to find those that lead to optimal performance on the training data.

Optimizing learning is improving our knowledge and skills through strategic and efficient methods. It involves setting specific goals and implementin…