what is pooling in convolutional neural networks?
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what is pooling in convolutional neural networks?
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- Explain in mathematical terms the process of supervised learning in neural networks and the results achieved by using such learning.The 'fully connected layer' refers to O CNN O MLP RNN O linear regressionGive an example of a situation when a recurrent neural network might be preferable to a non-recurrent one, and explain
- Compare and contrast the ways that Evolutionary Computation algorithms and Simulated Annealing escapes from local optima, i.e. • What do they have in common? • How are they different?The figure below shows a fully connected neural network, with two hidden layers. a. What are the dimensions (ie. the size of the matrix, nxm) of the weights matrix (W) for the node highlighted in red? illustrate your answer. b. Answer the same question for the node highlighted in blue. X₂ X3 X4 X₂Autoencoders are special type of neural networks trained to estimate identity functionTrueFalse