Google Interview Hacks

What are the parameters in a kernel? Stride and Size. Size can be any dimensions of a rectangle. Stride is the number of pixels moved every time.

What's a stride? Stride is the number of pixels moved every time. A stride of 1 produces an image almost the same size, and a stride of length 2 produces half the size. Padding image helps it receive same size as input.

What's max pooling and why is it useful? Pooling layers are placed between convolution layers. Pooling reduce the size of the image across the layers by sampling.

How is sampling done in max Pooling? Benefits of pooling. Takes maximum value in an image. Average pooling averages over the window. Pooling acts as a regularization function and also prevents overfitting. Carried out on all the channels of features. Can be performed with various strides.