Suppose that we use sigmod activation function and square loss function: (t- o)2. The learning rate is a. Derive the formulae for updating Vij and Wij using the gradient descent learning strategy in the backward propagation. For simplicity, we don't have bias in our neural network.

Operations Research : Applications and Algorithms
4th Edition
ISBN:9780534380588
Author:Wayne L. Winston
Publisher:Wayne L. Winston
Chapter17: Markov Chains
Section17.4: Classification Of States In A Markov Chain
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1. Suppose that we use sigmod activation function and square loss function: (t-
o)². The learning rate is a. Derive the formulae for updating Vij and Wij using the
gradient descent learning strategy in the backward propagation. For simplicity,
we don't have bias in our neural network.
Transcribed Image Text:1. Suppose that we use sigmod activation function and square loss function: (t- o)². The learning rate is a. Derive the formulae for updating Vij and Wij using the gradient descent learning strategy in the backward propagation. For simplicity, we don't have bias in our neural network.
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