Backpropagation For Neural Networks Explained | Deep Learning Tutorial
In this Deep Learning tutorial, we learn about the Backpropagation algorithm for neural networks.
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Backpropagation is probably the most important concept in deep learning and is essential for the training process of a neural network.
Today we have a look at what Backpropagation is and how it works. We then walk you through an example with concrete numbers to better understand the theory behind the algorithm.
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Timestamps:
00:00 Introduction
00:39 Definition
01:44 Computational Graph
02:24 Chain Rule
03:03 Backpropagation algorithm
04:18 Example calculation
07:29 Outro
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