Abstract
We’re still on the subject of gradient descent. But let’s now talk about gradient optimization, because of its importance to gradient descent. It is an optimization method for finding the minimum of a function, and it’s important in deep learning. It works to update the weights of the neural network through backpropagation.
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© 2020 Hisham El-Amir and Mahmoud Hamdy
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El-Amir, H., Hamdy, M. (2020). Improving Deep Neural Networks. In: Deep Learning Pipeline. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5349-6_10
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DOI: https://doi.org/10.1007/978-1-4842-5349-6_10
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-5348-9
Online ISBN: 978-1-4842-5349-6
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