Using Keras Functional API to construct a Residual Neural Network What is a Residual Neural Network? In principle, neural networks should get better results as they have more layers. A deeper network can learn anything a shallower version of itself can, plus (possibly) more than that. If, for a given Read more…
Implementing a Maximum Likelihood Classifier and using it to predict heart disease What is this thing about? The main idea of Maximum Likelihood Classification is to predict the class label y that maximizes the likelihood of our observed data x. We will consider x as being a random vector and y as being a parameter (not random) Read more…
Training a linear model to classify IMDb movie reviews as positive or negative Sentiment analysis, an important area in Natural Language Processing, is the process of automatically detecting affective states of text. Sentiment analysis is widely applied to voice-of-customer materials such as product reviews in online shopping websites like Amazon, Read more…