Chapter 8 .0: Convolutional neural networks for deep learning.

Last story we talked about ordinary neural networks which are basic building blocks for deep learning, This story I wanna talk about Convolutional neural networks or Convnets. The convnets have been the major breakthroughs in the field of Deep learning and they perform really well for image recognition, we can also use CNN's for Natural language processing and speech analysis. In this story I focus on computer vision(Image recognition). Let's say we are training a classifier to identify a cat using an ordinary neural net(where we have input, hidden and output layers) An ordinary neural networks typically takes features as inputs, for this problem we take image array as inputs, so we have a vector, size of (image width*height) as an input. We feed it to the model and train it (back propagation) for many images for many iterations.