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The training loop
A video giving an overview of the steps within the training loop in deep learning
We’ve seen how convolutional neural networks are constructed, but how are they trained?
In this video we go over the important training steps, specifically:
- the forward pass
- loss evaluation
- the backward pass
- updating of network parameters.
