Deep Learning, Ian Goodfellow, Yoshua Bengio, and Aaron Courville, 2016 (MIT Press) - This book is a general reference for deep learning, covering foundational concepts including data representation, normalization, and general principles of preparing data for neural networks, applicable across modalities.
Deep Learning with Python, François Chollet, 2021 (Manning Publications) - Offers practical and conceptual explanations of image data preprocessing, including resizing, normalization, and augmentation, within the context of deep learning for computer vision.