From Machine Learning with TensorFlow, Second Edition by Chris Mattmann This article covers: Building sentiment classifier using logistic regression and with softmax Measuring classification accuracy Computing ROC curve and measure classifier effectiveness Submitting your results to the Kaggle challenge for… Continue Reading →
From Machine Learning with TensorFlow, Second Edition by Chris Mattmann
This article covers using text and word frequency (Bag of Words) to represent sentiment.
The Cool Way to Search Text
By Scott Penbertht and Chris Mattmann
From Machine Learning with TensorFlow by Nishant Shukla
To bestow neural networks with contextual cues, we’ll study an architecture called a recurrent neural network. Instead of natural language data, we’ll be dealing with continuous timeseries data, like stock-market prices. By the end of the article, you’ll be able to model the patterns in timeseries data to make predictions about future values.