Covers: theory of Pytorch Framework
Estimated time needed to finish: 6 minutes
Questions this item addresses:
  • What is the structure that Pytorch use in order to build a Neural network?
  • What is the purpose of Pytorch framework?
How to use this item?

Watch the video from the minute 4:20 to 10:00

Author(s) / creator(s) / reference(s)
DeepLizard
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Hands-On Pytorch

Contributors
Total time needed: ~51 minutes
Objectives
Get an overview of how to use Pytorch Framework to build your neural networks. Learn about how Pytorch works, how to use their features, best practices and how to save your models.
Potential Use Cases
Implement Deep Neural Networks with Pytorch framework.
Who is This For ?
BEGINNEREveryone that wants to know how to use Pytorch.
Click on each of the following annotated items to see details.
Resource Asset5/7
VIDEO 1. Introduction to Pytorch
  • What is the structure that Pytorch use in order to build a Neural network?
  • What is the purpose of Pytorch framework?
6 minutes
VIDEO 2. Tensors and Data Structures
  • How to handle arrays, matrixes and tensors in Pytorch?
6 minutes
VIDEO 3. Datasets and DataLoader
  • How to load and handle data in Pytorch?
12 minutes
ARTICLE 4. Build a Basic NN with Pytorch
  • How to build a basic neural network with Pytorch?
6 minutes
VIDEO 5. Pytorch Common Mistakes
  • What are the common mistakes while building a NN with Pytorch?
6 minutes
VIDEO 6. Save and Load Models
  • How to save and Load a Pytorch Model?
  • How to save and load with a checkpoint?
5 minutes
VIDEO 7. Automatic differentiation
  • How Pytorch handles automattic differentiation?
10 minutes

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