Deep Learning, Ian Goodfellow, Yoshua Bengio, and Aaron Courville, 2016 (MIT Press) - Authoritative textbook covering the mathematical and conceptual foundations of feedforward neural networks, including their architecture and forward propagation.
Neural Networks and Deep Learning, Michael A. Nielsen, 2015 (Determination Press) - An acclaimed online book providing an accessible introduction to neural networks, including detailed explanations of feedforward networks and the mechanics of forward propagation.
CS230: Deep Learning - Lecture Notes, Andrew Ng and the Stanford CS230 Staff, 2018-2019 (Stanford University) - Official course materials from a leading university course, providing foundational explanations of neural network architectures, including feedforward networks and their computational flow.