Top 10 Best Deep Learning With Pytorch

of November 2024
1
Best ChoiceBest Choice
Deep Learning with PyTorch: Build, train, and tune neural networks using Python
Manning Publications
Manning Publications
10
Exceptional
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2
Best ValueBest Value
Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD
O'Reilly Media
O'Reilly Media
9.9
Exceptional
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3
Modern Computer Vision with PyTorch: Explore deep learning concepts and
9.8
Exceptional
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4
Deep Learning with Python, Second Edition
9.7
Exceptional
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5
Deep Learning with Python
Manning Publications
Manning Publications
9.6
Exceptional
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6
The Deep Learning with PyTorch Workshop: Build deep neural networks and
Packt Publishing
Packt Publishing
9.5
Excellent
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7
Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning
O'Reilly Media
O'Reilly Media
9.4
Excellent
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8
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts,
O'Reilly Media
O'Reilly Media
9.3
Excellent
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9
PyTorch Pocket Reference: Building and Deploying Deep Learning Models
9.2
Excellent
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10
Learning Deep Learning: Theory and Practice of Neural Networks, Computer
9.1
Excellent
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About Deep Learning With Pytorch

Click here to learn more about these products.

Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools

Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD

Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications

Deep Learning with Python, Second Edition

Deep Learning with Python

Care instruction Keep away from fire. It can be used as a gift. It is made up of premium quality material..

The Deep Learning with PyTorch Workshop: Build deep neural networks and artificial intelligence applications with PyTorch

Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

PyTorch Pocket Reference: Building and Deploying Deep Learning Models

Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

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