I am not that good with RNNs and want to understand it in depth. Also, not just how to create RNN based models and which models are good, I also want to understand how tensorflow has implemented LSTM and GRU like layers.
Any materials (Books, Blogs, Videos etc.) would be appreciated for learning RNNs.
Please, also suggest the part of the code which can be starting point to understand implementation of RNN based layers in tf.