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👉 Learn Deep Learning With PyTorch for free here - kindsonthegeni...
👉 Find codes on GitHub - github.com/Kin... This is the part 1 in the 16 part tutorial on Deep learning with PyTorch for absolute beginners.
In this part, we look at overview of PyTorch and setup PyTorch with Jupyter Notebook.
Get the code on GitHub - shorturl.at/09XMN
PyTorch Tutorial covers the following:
1. Setup Pytorch and Import the necessary modules - • PyTorch Beginner Tutor...
2. Download the training dataset - • PyTorch Beginner Tutor...
3. Download the test dataset - • PyTorch Beginner Tutor...
4. Preview the the images - • PyTorch Beginner Tutor...
5. Create the data loaders - • PyTorch Beginner Tutor...
6. Examine he shape of the data - • PyTorch Beginner Tutor...
7. Declare your device - • PyTorch Beginner Tutor...
8. Create the NeuralNetwork model
9. Train the model
10. Ensure the loss reduces with training
11. Test the Model with test dataset
12. Examine the Accuracy/Loss -
13. Save your model
14. Load your model
15. Use the model to make prediction