Updated on April 19, 2020. Getting started with Deep Learning and neural networks can be challenging. So, to make things easier, in this post you will get hands-on experience with practical deep learning. You will get to know MNIST digit classification by using Neural Networks. If you want, you can take a look at one of my previous posts for MNIST digit classification using Scikit-Learn (Not a pre-requisite). You may gain some insights […] ...

Introduction Machine Learning and Artificial Intelligence have been weaved into our lives in some form. Every newcomer to the field is trying to solve machine learning problems. But I have a different take on it. I think that one should not try to solve machine learning problems. And I have a reason to think so. […] ...

Data preparation or processing is one of the most important steps when working with real-world data on a machine learning project. One of the major pains in such situations is working with categorical data. This is because most of the machine learning algorithms cannot work with categorical data directly. They are needed to be converted […] ...

Updated on April 19, 2020. The MNIST handwrttien digit data set has become the go-to guide for anyone starting out with classification in machine learning. But it is not only for students and learners. Even researchers who come up with any new classification technique also try to test it on this data. So, in this article, […] ...

In this post, we discuss the different types of activation functions in neural networks and deep learning. ...