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Backpropagation, an abbreviation for "backward propagation of errors", is a common method of training artificial neural networks used in conjunction with an optimization method such as gradient descent.
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Validate implementation of back-propagation algorithm
Let's say I implemented a CNN. Is there an easy way I can validate, that my implementation of back-propagation does not contain errors ?
May be I can feed some dummy values into my network so it can …
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Back-propagation in Convolution layer
Most examples I found on the internet explain well back-propagation in convolution layer, but only with a single kernel and single input channel.
I do not understand how to do back-propagation for mo …