An input image to a Convolutional Neural Network has the size of 80 by 80 and the filter (kernel) has the size of 11 by 11 with the stride size of 1. Using the same convolution the padding size must be and using the valid convolution the output size shall be_--- x___----

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A: Lets see the solution.

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A: Task : A 2-input OR gate rule. A 1-input NOT gate rule.

Q: Know how a backpropagation algorithm can be applied to updating the weights of a neural network

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Q: raw the discrete Hopfield neural networks block scheme

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Q: Backpropagation learning 1 f (w, x) = 1+e-(Woxo+W1X1+W2)

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Q: 22. Let a = (AV -BVC), then a has 5 models only (i.e., M(a) = 5).

A: Below i have answered:

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A: Het there, I am writing the required solution for the above stated question.

Q: Write about the application domains of Neural Network Algorithms

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A: given - A wave is modeled by the wave function: y (x, t) = A sin [ 2π/0.1 m (x - 12 m/s*t)]…

Q: A wave is modeled by the wave function: y (x, t) = A sin [ 2π/0.1 m (x - 12 m/s*t)]

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Q: Describe homomorphic filtering to improve the image (f(x,y) given its intensity (I(x,y))and…

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A: The output H(x) is calculated as H(x) = 20*x1 + 20*x2 - 30

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A: ANSWER:-

Q: Autoencoders

A: Dear Student, The answer to your question is given below -