Deep Learning, Ian Goodfellow, Yoshua Bengio, Aaron Courville, 2016 (MIT Press) - A comprehensive academic textbook covering the mathematical and conceptual foundations of deep learning, including data representation.
Deep Learning with Python, François Chollet, 2021 (Manning Publications) - A practical guide to deep learning using Keras and TensorFlow, offering hands-on examples for data preprocessing, sequence padding, and input structuring for recurrent neural networks.
Efficient Estimation of Word Representations in Vector Space, Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean, 2013arXiv preprint arXiv:1301.3781DOI: 10.48550/arXiv.1301.3781 - The foundational paper introducing Word2Vec, a method for learning dense word embeddings that capture semantic relationships, mentioned as an advanced technique in the section.