Introduction to Deep Learning and Neural Networks with Python(tm) by unknow

Author:unknow
Language: eng
Format: epub
Publisher: Elsevier Science & Technology
Published: 2020-11-27T00:00:00+00:00

For the forth hidden neuron, the changes are:

1. g3 is calculated by using the index 3 with the w6_5_old array.

2. g4 is calculated using sop4.

For the fifth hidden neuron, the changes are:

1. g3 is calculated by using the index 4 with the w6_5_old array.

2. g4 is calculated using sop5.

At this point, the gradients for all network weights are calculated and the weights are updated. Just remember to set the w6_5_old variable to the new w6_5 at the end of the code.

More iterations

After implementing the network architecture in Fig. 6.1, a for loop is used to train the network for a number of iterations. This is implemented in the next code.

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