PyTorch Beginner Tutorial - Part 12 (Compute the Accuracy and Loss)
This is part 12 of our Deep Learning with PyTorch tutorial. In this part, we are going to compute the accuracy and loss metrics
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This is Part 8 for PyTorch simplified tutorial series for beginners. In this part, we setup our Neural Network model
1. Setup PyTorch and Import the necessary modules - • PyTorch Beginner Tutorial - Part 1 (I...
2. Download the training dataset - • PyTorch Beginner Tutorial - Part 2 (D...
3. Download the test dataset - • PyTorch Beginner Tutorial - Part 3 (D...
4. Preview the the images - • PyTorch Beginner Tutorial - Part 4 (P...
5. Create the data loaders - • PyTorch Beginner Tutorial - Part 5 (C...
6. Examine he shape of the data - • PyTorch Beginner Tutorial - Part 6 (E...
7. Declare your device - • PyTorch Beginner Tutorial - Part 7 (D...
8. Create the NeuralNetwork model
9. Train the model - • PyTorch Beginner Tutorial - Part 9 (T...
10. Ensure the loss reduces with training
11. Test the Model with test dataset - • PyTorch Beginner Tutorial - Part 11 (...
12. Examine the Accuracy/Loss - • PyTorch Beginner Tutorial - Part 12 (...
13. Save your model
14. Load your model
15. Use the model to make prediction
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