All about stop words in Natural language processing along with hands-on examples. — In this article, we will learn all about stop words for Natural Language processing. In computing, stop words are words that are filtered out before or after the natural language data (text) are processed. …

A tutorial for learning and practicing NLP with TensorFlow. — Not all the data is present in a standardized form. Data is created when we talk, when we tweet, when we send messages on Whatsapp and in other activities. The majority of this data is in the textual form, which is of a highly unstructured nature. While having data of…

A practical and hands-on example to know how to use transfer learning using TensorFlow. — In this article, we will learn how to use transfer learning for a classification task. One of the most powerful ideas in deep learning is that we can take the knowledge that a neural network has learned from one task and apply that knowledge to another task. …

Dealing with small data sets for Deep Learning. — Data Augmentation is a technique that can be used for making updated copies of images in the data set to artificially increase the size of a training dataset. This technique is very useful when the training data set is very small. There are already many good articles published on this…