Deep Learning Through the Prism of Tensors

Deep Learning Through the Prism of Tensors

Raman, Balasubramanian; Singh, Pradeep

Springer Verlag, Singapore

01/2025

472

Dura

9789819780181

Pré-lançamento - envio 15 a 20 dias após a sua edição

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Chapter 1: A Tensorial Perspective to Deep Learning.- Chapter 2: The Algebra and Geometry of Deep Learning.- Chapter 3: Building Blocks.- Chapter 4: Journey into Convolutions.- Chapter 5: Modeling Temporal Data.- Chapter 6: Transformer Architectures.- Chapter 7: Attention Mechanisms Beyond Transformers.- Chapter 8: Graph Neural Networks: Extending Deep Learning to Graphs.- Chapter 9: Self-Supervised and Unsupervised Learning in Deep Learning.- Chapter 10: Learning Representations via Autoencoders and Generative Models.- Chapter 11: Recent Advances and Future Perspectives.
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Deep Learning;Tensor Dynamics;Machine Learning;Computer Vision;Natural Language Processing;Signal Processing;Artificial Intelligence