Neural Networks and Deep Learning.

Nielsen, M. (2015). Neural Networks and Deep Learning. Determination Press. http://neuralnetworksanddeeplearning.com/

This book is designed to teach the core principles of neural networks and the evolution of deep learning through a blend of theory and practice. By shifting from traditional instruction-based programming to a model where computers learn from observational data, the author explores how these systems achieve remarkable results in fields like image and speech recognition. The curriculum moves from basic structures like perceptrons and sigmoid neurons to complex topics such as backpropagation and convolutional networks, using the specific challenge of recognizing handwritten digits as a recurring case study. Ultimately, the work aims to provide a durable, principle-oriented understanding of the field, prioritizing lasting conceptual insights over the fleeting technical details of specific software libraries.