Understand Model Behavior During Training by Visualizing Metrics
You can learn a lot about neural networks and deep learning models by observing their performance over time during training. For example, if you see the training accuracy went worse with training epochs, you know you have issue with the optimization. Probably your learning rate is too fast. In this post, you will discover how you can review and visualize the performance of PyTorch models over time during training. After completing this post, you will know:
- What metrics to collect during training
- How to plot the metrics on training and validation datasets from training
- How to interpret the plot to tell about the model and training progress
Kick-start your project with my book Deep Learning with PyTorch. It