This book serves as an exceptional guide for individuals seeking to grasp the fundamentals of neural networks and their practicality in everyday life. It delves into an intricate explanation of what constitutes a neuron and its functioning within a neural network, unravels the concept of weights and biases, sheds light on the decision-making process of a neuron, and illuminates the construction of a comprehensive neural network.
Furthermore, the book encompasses a comprehensive exploration of pertinent topics such as the training of neural networks, the principal variants of neural networks (including fully connected, convolutional, and recurrent networks), and their application in solving classification, regression, and clustering predicaments.
