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 network•a) input layer•b) hidden layer 1 (dim = 3)•c) hidden layer 2 (dim = 4)•d) output layer (dim = 2)
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Determine the next term in the sequence. then write the next 2 terms 4,16,28, what number do you do to get that?
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Match each statement with its corresponding value for the system below: y = -2(3)x and y = 9x - 2 1. the number of points of intersection. -2 2. the x-coordinate of the solution. 1 3. the y-coordinate of the solution. 0
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Mathematics, 21.06.2019 19:30
Are triangles the congruent? write the congruency statement.what is the congruency that proves they are congruent? what is the perimeter of ∆pqr?
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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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