Question# 01: Consider the simple neural network below: 0.1 Input A = 0.1 0.2 0.5 Output 0.3 Input B= 0.7 0.1 0.2 Assume that the neurons have a Sigmoid activation function, Target value is 1 and learning rate is also 1. Perform the following task: a) Perform a forward pass on the network. b) Perform a reverse pass (training) once. c) Perform a further forward pass and comment on the result.

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A: False.

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Q: A fully connected neural network with the same size layers as that of a corresponding CNN represent:

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A: The answer is

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A:

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Q: 1. What does a neuron compute? A neuron computes an activation function followed by a linear…

A: I have given explanation in the below steps.

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