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2018-02-23
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch - de Vishnu Subramanian (Author)
Caractéristiques Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch
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| Le Titre Du Fichier | Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch |
| Sortié Le | 2018-02-23 |
| Traducteur | Debora Richelle |
| Quantité de Pages | 370 Pages |
| Taille du fichier | 21.56 MB |
| Langage | Français & Anglais |
| Éditeur | Zed Books |
| ISBN-10 | 4378513503-HQP |
| Type de e-Book | AMZ ePub PDF CHM WPS |
| de (Auteur) | Vishnu Subramanian |
| Digital ISBN | 270-9886426357-GMI |
| Nom de Fichier | Deep-Learning-with-PyTorch-A-practical-approach-to-building-neural-network-models-using-PyTorch.pdf |
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Deep Learning with PyTorch A practical approach to building neural network models using PyTorch ebook Vishnu Subramanian Auteur Build neural network models in text vision and advanced analytics using PyTorch Key Features Learn PyTorch for implementing cuttingedge deep learning algorithms
Deep Learning with PyTorch A practical approach to building neural network models using PyTorch English Edition Vishnu Subramanian Format Kindle 1999 € Deep Learning with PyTorch Quick Start Guide Learn to train and deploy neural network models in Python English Edition David Julian Format Kindle 1550 € Suivant Description du produit Présentation de léditeur Rapidly
Recent developments in neural network approaches more known now as deep learning have dramatically changed the landscape of several research fields such as image classification object detection speech recognition machine translation
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Deep learning has resurged with the availability of massive datasets and affordable computing enabling new applications in computer vision and natural language processing This course introduces convolutional recurrent and other neural network architectures for
Deep Learning with PyTorch eBook de Vishnu Subramanian