Math and architectures of deep learning
Math and Architectures of Deep Learning teaches the math, theory, and programming principles of deep learning models laid out side by side, and then puts them into practice with well-annotated Python code. You’ll progress from algebra, calculus, and statistics all the way to state-of-the-art DL arch...
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| Otros Autores: | , , , |
| Formato: | Vídeo online |
| Idioma: | Inglés |
| Publicado: |
[Shelter Island, New York] :
Manning Publications
[2024]
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| Edición: | [First edition]. Video edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009837633406719 |
| Sumario: | Math and Architectures of Deep Learning teaches the math, theory, and programming principles of deep learning models laid out side by side, and then puts them into practice with well-annotated Python code. You’ll progress from algebra, calculus, and statistics all the way to state-of-the-art DL architectures taken from the latest research. |
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| Notas: | "In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video." |
| Descripción Física: | 1 online resource (1 video file (17 hr., 15 min.)) : sound, color |
