The 10 Deep Learning Methods AI Practitioners Need to Apply

In this post, I am mainly interested in the latter 3 architectures. A Convolutional Neural Network is basically a standard neural network that has been extended across space using shared weights. CNN is designed to recognize images by having convolutions inside, which see the edges of an object recognized on the image. A Recurrent Neural Network is basically a standard neural network that has been extended across time by having edges which feed into the next time step instead of into the next layer in the same time step. RNN is designed to recognize sequences, for example, a speech signal or a text.