What is the point of moving back and forth in neural networks?
Everyone mentions these expressions when talking about backpropagation and epochs.
I realized that the transitions back and forth take place together in the era.
I highly recommend you read this article carefully:
http://cs231n.imtqy.com/optimization-2/
It is shown in a fantastic and light unsightly form.
A direct pass refers to the process of calculating the values of the output layers from the input data. It passes through all neurons from the first to the last layer.
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