In neural networks, the backpropagation algorithm is important to train the network. But it also raises another problem. That is the problem of vanishing gradients. In this article, we are going to dive into the topic of vanishing gradients in neural networks and why it is a problem while training. A Bit About Backpropagation The […] ...

Beginners often face difficulties when getting started with Deep Learning, even if they have some prior experience in Machine Learning. Setting up the environment is yet another pain point when starting deep learning. In this article, you are going to learn how to seamlessly set up your machine for Deep Learning with python. Although this […] ...

Machine Learning algorithms need properly formatted data to give good predictions. Preparing data for a machine learning project can be difficult and can take most of the time (sometimes up to 80%). But it need not be so. In this article, you will learn a very practical approach on how to prepare data for machine […] ...

Deep Learning involving text can be fascinating to deal with. But there are two main problems to look after. First, deep learning models do not take text data directly as input. Secondly, text can be really messy to deal with when designing deep learning models. But, Keras can help with the preprocessing of text data. […] ...

It is very important to have a good and properly prepared data to execute through a machine learning pipeline. Sometimes you are lucky to get good data from the beginning. But at other times you need to prepare your data before feeding it your machine learning algorithm. In this article, you are going to learn […] ...