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Deep Learning Through the Prism of Tensors / / by Pradeep Singh, Balasubramanian Raman
| Deep Learning Through the Prism of Tensors / / by Pradeep Singh, Balasubramanian Raman |
| Autore | Singh Pradeep |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (483 pages) |
| Disciplina | 006.31015163 |
| Altri autori (Persone) | RamanBalasubramanian |
| Collana | Studies in Big Data |
| Soggetto topico |
Computational intelligence
Artificial intelligence Mathematics Computational Intelligence Artificial Intelligence Applications of Mathematics |
| ISBN |
9789819780198
9819780195 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910921007003321 |
Singh Pradeep
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning / / by Pradeep Singh, Balasubramanian Raman
| The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning / / by Pradeep Singh, Balasubramanian Raman |
| Autore | Singh Pradeep |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (467 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) | RamanBalasubramanian |
| Collana | Studies in Big Data |
| Soggetto topico |
Computational intelligence
Artificial intelligence Telecommunication Machine learning Computational Intelligence Artificial Intelligence Communications Engineering, Networks Machine Learning |
| ISBN | 981-9647-06-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foundations of Representation Theory in Transformers -- Word Embeddings and Positional Encoding -- Attention Mechanisms -- Transformer Architecture: Encoder and Decoder -- Transformers in Natural Language Processing -- Transformers in Computer Vision -- Time Series Forecasting with Transformers -- Signal Analysis and Transformers -- Advanced Topics and Future Directions -- Convergence of Transformer Models: A Dynamical Systems Perspective. |
| Record Nr. | UNINA-9911007471103321 |
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Singh Pradeep
|
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||