Deep Learning CNN's in Tensorflow with GPUs – Hacker Noon

Convolutional neural networks are the current state-of-art architecture for image classification. They're used in practice today in facial recognition, self driving cars, and detecting whether an object is a hot-dog. The basics of a CNN architecture consist of 3 components. A convolution, pooling, and fully connected layer. These components work together to learn a dense feature representation of an input.