I've built some neural networks with TensorFlow, like basic MLPs and convolutional neural networks. Now I want to move on to recurrent neural networks. However, I'm not experienced in natural language processing. Therefore the TensorFlow NLP tutorials for RNNs are not easy to read for me (and not really interesting, too).
Basically I want to start off with something simple, not a LSTM.
How would one build a simple recurrent neural network, like an Elman network, in TensorFlow?
I were only able to find GRU- or LSTM RNN examples for TensorFlow, mostly for NLP. Does anyone know of some simple recurrent neural network tutorials or examples for TensorFlow?
This figure shows a basic Elman network, which is often simply called SRN (simple recurrent network):