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|a QA76.73.P98
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|a Singla, Aarohi
|e instructor
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| 245 |
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0 |
|a PyTorch 2.0 for deep learning
|b building and training neural networks from scratch
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| 250 |
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|a [First edition]
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| 260 |
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|a [Sebastopol, California]
|b O'Reilly Media, Inc.
|c 2024
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| 300 |
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|a 1 video file (2 hr., 17 min.)
|b sound, color
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| 653 |
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|a streaming video / aat
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| 653 |
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|a Neural networks (Computer science) / http://id.loc.gov/authorities/subjects/sh90001937
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| 653 |
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|a Machine learning / http://id.loc.gov/authorities/subjects/sh85079324
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| 653 |
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|a Deep learning (Machine learning) / http://id.loc.gov/authorities/subjects/sh2021006947
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|a Vidéo en continu
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| 653 |
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|a Python (Langage de programmation)
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| 653 |
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|a Réseaux neuronaux (Informatique)
|
| 653 |
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|a Streaming video / http://id.loc.gov/authorities/subjects/sh2005005237
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| 653 |
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|a Apprentissage automatique
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| 653 |
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|a Apprentissage profond
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| 653 |
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|a Python (Computer program language) / http://id.loc.gov/authorities/subjects/sh96008834
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|a O'Reilly
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|x Verlag
|3 Volltext
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|a Deep learning is revolutionizing the field of artificial intelligence, enabling machines to learn and make decisions like humans. PyTorch, a powerful and flexible deep learning framework, has emerged as the preferred tool for building and training neural networks. Whether you're an aspiring data scientist, machine learning engineer, or AI enthusiast, this comprehensive course will empower you to harness the full potential of deep learning with PyTorch. Learners will emerge from the course with both practical skills and a solid theoretical foundation in PyTorch for deep learning, positioning them for success in AI-related roles
|