Demystify neural networks with PyTorch
Applied deep learning with PyTorch: demystify neural networks with PyTorch
โ Scribed by Saleh, Hyatt
- Publisher
- Packt Publishing
- Year
- 2019
- Tongue
- English
- Leaves
- 254
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Table of ContentsIntroduction to Deep Learning and PyTorchBuilding Blocks of Neural NetworksA Classification Problem Using DNNsConvolutional Neural NetworksStyle TransferAnalyzing the Sequence of Data with RNNs
โฆ Subjects
Machine learning
๐ SIMILAR VOLUMES
<p><b>Get a head start in the world of AI and deep learning by developing your skills with PyTorch</b></p><h4>Key Features</h4><ul><li>Learn how to define your own network architecture in deep learning</li><li>Implement helpful methods to create and train a model using PyTorch syntax</li><li>Discove
<p><b>Get a head start in the world of AI and deep learning by developing your skills with PyTorch</b></p><h4>Key Features</h4><ul><li>Learn how to define your own network architecture in deep learning</li><li>Implement helpful methods to create and train a model using PyTorch syntax</li><li>Discove
Code .<p><b>Get a head start in the world of AI and deep learning by developing your skills with PyTorch</b></p><h4>Key Features</h4><ul><li>Learn how to define your own network architecture in deep learning</li><li>Implement helpful methods to create and train a model using PyTorch syntax</li><li>D
<p><b>Build neural network models in text, vision and advanced analytics using PyTorch</b></p>Key FeaturesLearn PyTorch for implementing cutting-edge deep learning algorithms.Train your neural networks for higher speed and flexibility and learn how to implement them in various scenarios;Cover variou
<p><b>Build neural network models in text, vision and advanced analytics using PyTorch</b></p><h4>Key Features</h4><ul><li>Learn PyTorch for implementing cutting-edge deep learning algorithms.</li><li>Train your neural networks for higher speed and flexibility and learn how to implement them in vari