I am happy to announce the release of my new program FeedMe. FeedMe provides an easy way to parse XML Feeds, render them in an HTML file, and send them based on a template to your email contacts. It supports tracking to send only fresh data in each run. Using...
[Read More]
Deep Learning with Keras - Part 7
Recurrent Neural Networks
In this part of the series, we will introduce Recurrent Neural Networks aka RNNs that made a major breakthrough in predictive analytics for sequential data. This article covers RNNs on both conceptual and practical levels. We will start with the definition of RNNs, why and when they are used, then...
[Read More]
Deep Learning with Keras – Part 6
Textual Data Preprocessing
Congratulations for going far in this Keras tutorial. After working with numeric, categorical and image data, it is time to handle textual data. Deep learning has proved itself in being very effective with Natural Language Processing (NLP) tasks. Before we dive into how to build NLP models, let us learn...
[Read More]
Applying a Machine Learning Process to Humans
Teaching humans instead of machines: An interactive approach to learning machine learning
Machine learning is undoubtedly one of the hottest topics nowadays. There are plenty of articles that explain what machine learning is and how it affects our lives. But this article…this article is different than any other you’ve come across. Why? Because instead of training machines, I am going to train...
[Read More]
Deep Learning with Keras – Part 5
Convolutional Neural Networks
In the previous articles, we solved problems with numeric and categorical data, and we learned the different transformations needed for each. Regarding images, we investigated a simple hack that resizes each image into an array of pixels and feed it to the input layer. The approach worked well and we...
[Read More]