Summing this all up, Stephen shares an image showing the training process for a neural net and how the loss function should decrease over time.
If the loss eventually streamlines, yay you have a solid model
If it not you can't rely on it and it's time to change the architecture
If the loss eventually streamlines, yay you have a solid model
If it not you can't rely on it and it's time to change the architecture
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