"Understanding Neural Network Learning: A Visual Guide"

This article is part of a series on deep learning and explores how neural networks learn through the training process, using the example of predicting ice cream sales based on temperature and day of the week. It discusses determining the architecture of the neural network, including the number of hidden layers, neurons, and activation functions, and introduces terminology related to weights.