Deep Learning, Ian Goodfellow, Yoshua Bengio, and Aaron Courville, 2016 (MIT Press) - This authoritative textbook provides a comprehensive theoretical foundation for deep learning, including detailed explanations of various loss functions and their role in neural network training.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, Aurélien Géron, 2022 (O'Reilly Media) - A practical guide that covers the implementation and theoretical aspects of machine learning models, including a clear discussion of different loss functions used in neural networks.