Understanding your Convolution network with Visualizations

The field of Computer Vision has seen tremendous advancements since Convolution Neural Networks have come into being. The incredible speed of research in this area, combined with the open availability of vast amount of Image databases on web has given us incredible results in past few years. The rise of large convolution neural networks started with AlexNet in 2012, which was created by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton, and was the winning entry in ImageNet Large-Scale Visual Recognition Challenge that year. Since, then there has been no looking back for researchers in this field, and the results in various areas in Computer Vision are a clear proof of that. From the Face Recognition in your phone to driving your cars, the tremendous power of CNNs is being used to solve many real-world problems.