Mathematics, 10.11.2019 05:31 tblynch21
In neural network learning (week 5 in coursera) we asked you to compute the backpropagation of a modelwith two layers. at each layer, we used the sigmoid function as our activation function. those activationswere then used as an input to the next layer. the architecture of the model you will be working with isdefined below. you have 20 training examples and 5 features. figure 1: architecture of the networkβ’a) input layerβ’b) hidden layer 1 (dim = 3)β’c) hidden layer 2 (dim = 4)β’d) output layer (dim = 2)
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Angles r and s are complementary. the measure of angle r is 31 degrees. which equation can be used to find angle s?
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Tom travels between the two mile markers shown and then finds his average speed in miles per hour. select the three equations that represent this situation.
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At noon a tank contained 10cm water. after several hours it contained 7cm of water. what is the percent decrease of water in the tank?
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In neural network learning (week 5 in coursera) we asked you to compute the backpropagation of a mod...
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