Becoming an expert in ML, NLP, data story telling and encouraging others to do the same. Sr Data Scientist, Toronto Canada. https://www.linkedin.com/in/susanli/
Overfitting is where test error is high and training error is low. Mine is opposite. In addition, they are not far apart 0.00062 vs. 0.00040. It is possible because of the dropout layer. However, it is not overfitting.
You can find Jupyter notebook in the github: https://github.com/susanli2016/Machine-Learning-with-Python/blob/master/Time%20Series%20ANN%20%26%20LSTM%20VIX.ipynb
Go ahead. Thanks for letting me know.
You are most welcome!
data set here: https://github.com/susanli2016/Machine-Learning-with-Python/blob/master/Seattle_Hotels.csv
Sorry I have a typo, should be “return seed_text.title()”
Thanks for letting me know
Thanks for sharing!