Sentiment analysis using Keras and Tensorflow

Sentiment analysis is actually one of the hottest topics in Deep learning area. It falls under the umbrella of NLP. Companies use sentiment analysis for product analytics, brand monitoring and many other applications. In this tutorial, you will discover how to develop sentiment analysis model using Deep Learning, specifically RNN. Once again, we will use… Continue reading Sentiment analysis using Keras and Tensorflow

Eye state classification using Keras and Tensorflow

In this article, I will use Keras and Tensorflow to build a CNN architecture for image classification. The dataset is available for download on ICU Machine Learning Repository and our purpose is to classify eye state as wearing SUNGLASSES or just OPEN. Classification on the head position or facial expression can be done as well… Continue reading Eye state classification using Keras and Tensorflow

Early diabete prediction using Keras and Tensorflow

This tutorial is to achieve the same purpose as the previous article Binary Classification with Keras and Scikit-learn but with the pair Keras-TensorFlow. We will just highlight the difference between both approaches. Load, Explore, visualize dataset Instead of using Pandas, we use directly Tensorflow to load and create the tensors: Data preprocessing Also, we use… Continue reading Early diabete prediction using Keras and Tensorflow

Early diabete prediction using Keras and Scikit-learn

In this article, we will demonstrate how to combine Keras, Tensorflow and Scikit to achieve binary classification using Deep Neural Network approach. We will follow the standard process that should be adopted for any kind of machine learning projects : Load, Explore, visualize a dataset Data preprocessing Develop the model Create training and evaluation datasets… Continue reading Early diabete prediction using Keras and Scikit-learn