Question: We will define a class to model the fully connected multi layer network. The network parameters will be a dictionary accesssed with keys W

We will define a class to model the fully connected multi layer network. The network parameters will be a dictionary accesssed with keys "W1","b1","W2","b2", etc.
The weight matrix is initialized with random values from a normal distribution with variance 1. For example, to create a matrix w of dimension 34, with values
from a normal distribution with variance 1, we write w=0.01**torch. randn , requires_grad=True, dtype=torch.float 32
 We will define a class to model the fully connected multi

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