Sentdex Rnn with Keras

This is an ipynb notebook that attempts to speed up and simplify the creation of sequence data for the RNN that Harrison create in :

See (https://pythonprogramming.net/crypto-rnn-model-deep-learning-python-tensorflow-keras/)

This project contains 2 jupyter notebooks:

1. rnn_sentdex.ipynb: This is a reworked version of Harrison's original RNN project

• youtube at: https://www.youtube.com/watch?v=yWkpRdpOiPY&t=488s
• webpost at https://pythonprogramming.net/crypto-rnn-model-deep-learning-python-tensorflow-keras/
• It attempts to simplify and speed up the creation of training and validation data for his RNN model.

2. rnn_sentdex_original.ipynb: This is a jupyter notebook that is almost identical to Harrison's code. I have commented out the components of his tensorflow.keras.models.Sequential, and replaced them with keras.layers.SimpleRNN. This replacement seems to run much faster, and arrive at the same place.

For more of Harrison's informative videos and posts, see his website (https://pythonprogramming.net/) or his youtube channel (https://www.youtube.com/channel/UCfzlCWGWYyIQ0aLC5w48gBQ)