Python Programming Tutorials

Now that we've learned about the basic feed forward, fully connected, neural network, it's time to cover a new one: the convolutional neural network, often referred to as a convnet or cnn. Convolutional neural networks got their start by working with imagery. The idea of doing image analysis is to recognize things like objects, such as humans, or cars. In order to recognize a car or a human, it's fairly challenging to do so if you're thinking of things 1 pixel at a time. Instead, a convolutional neural network aims to use a sliding window (a kernel) that takes into account a group of pixels, to hopefully recognize small features like "edges" or "curves" and then another layer might take combinations of edges or curves to detect shapes like squares or circles, or other complex types of shapes...and so on.