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
Learn Deep Learning With PyTorch for free here -
Find codes on GitHub -
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 -
2. Download the training dataset -
3. Download the test dataset -
4. Preview the the images -
5. Create the data loaders -
6. Examine he shape of the data -
7. Declare your device -
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
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