Question: 1 . CNNs are really powerful NNs for image recognition, and their basic operation is the convolution. a . Calculate the output image that is

1 .

CNNs are really powerful NNs for image recognition, and their basic operation is the convolution.

.

Calculate the output image that is generated from the following image data

Using this convolution kernel:

.

The problem with CNNs is that the convolution layers can really explode the dimensionality of data that is being fed to the next layers. What techniques to deep CNNs use to reduce dimensionality?

.

Another issue is that as they get deeeeep, they don't train as well. What trick did ResNet pull to alleviate this problem? Describe how this works?

1. CNNs are really powerful NNs for image recognition, and their

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