Convolutional Neural Net in Tensorflow – Good Audience

One of the most exciting areas of deep learning is computer vision. Through recent advances in convolutional neural nets we have been able to create self driving cars, facial detection systems and automated medical imagery analysis that out performs specialists just to name a few. In this article I will show you the fundamentals of convolutional neural nets and how you can create one yourself to classify hand written digits. Unlike many fields of deep learning which are hyped to the public to seem like they are replications of biological functions in the human brain, convolutional neural nets come very close. Back in 1959, David Hubel and Torsten Wiesel conducted expirements on cats and monkeys which gave important revelations of how the visual cortex functions. What they found was that many neurons have a small local receptive which only react to small finite areas of the total visual field.