Continue the learning process of Convolutional Neural Networks and Recurrent Neural Networks with TensorFlow in Jupyter Notebook.

# RNN with TensorFlow

To further explore the performance of RNN model, we can change the number of iteration num_train_iterations, learning rate learning_rate, and model type tf.contrib.rnn.BasicRNNCell() and then play with it.

About just for time sequence that shifts 1 time step ahead, now we’ll generate a completely new sequence.

Instead of zeros at the beginning, now use training example, other parts remain the same

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