Machine Learning with Python - Using More Data - Deep Learning with Neural Networks and TensorFlow part 8

Welcome to part eight of the Deep Learning with Neural Networks and TensorFlow tutorials. In the last tutorial, we applied a deep neural network to our own dataset, but we didn't get very useful results. We're wondering what might happen if we significantly increase the size of the dataset. Before, we were using ~10,000 samples, how about we try with 1.6 million samples? The dataset that we will use this time is from Stanford, and containes 1.6 million examples of positive and negative sentiment: Sentiment140 dataset (http://help.sentiment140.com/for-students/) https://pythonprogramming.net https://twitter.com/sentdex https://www.facebook.com/pythonprogramming.net/ https://plus.google.com/+sentdex