TensorFlow and RNN recapitulation needed for homework

Suggested topics

Mean Square Error (MSE) vs CrossEntropy loss funkce

Backpropagation (BP) need to know

Recurrent NN (RNN) - BP Through Time (BPTT) need to know

How to debug Neural Networks

TensorBoard, loss function, early stopping

If you have any questions about using RNN and TensorFlow, please ask them in advance via email. I may need to prepare some data or code to demonstrate the answer.