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