How are recurrent neural networks different from convolutional neural networks?

How are recurrent neural networks different from convolutional neural networks?

Convolutional neural networks – a type of feed-forward artificial neural network – are variations of multilayer perceptrons which are designed to use minimal amounts of preprocessing.

Recurrent neural networks – unlike feedforward neural networks – can use their internal memory to process arbitrary sequences of inputs.

See also my quick and dirty webpages:

• Best Convolutional Neural Network Videos | Meta-Guide.com
• Best Recurrent Neural Network Videos | Meta-Guide.com
• CNN (Convolutional Neural Network) & Natural Language 2014 | Meta-Guide.com
• RNN (Recurrent Neural Network) & Dialog Systems 2014 | Meta-Guide.com