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EasyOCR is actually a python package that holds PyTorch as a backend handler. Let's learn about extracting text from images using EasyOCR.
BERT is a multi-layered encoder. In this blog learn about BERT transformers and its applications and text classification using BERT.
In this part of this blog series, we will discuss some of the very useful Natural Language Processing Tasks such as Text classification
In this article, firstly we will discuss the co-occurrence matrix, we will be discussing new concepts related to the Word embedding
This article aims to explain the concepts of NLP and how to build a model using LSTM a deep learning algorithm for performing sentiment analysis
In this article, we are going to learn to Develop a Simple Chatbot using Python and Deep Learning so as to automate customer redresal
MuRIL, short for Multilingual Representations for Indian Languages, a open-source ML tool specifically designed for Indian languages.
In this blog, we will be briefly explaining the concepts of MLOps and how to productionize ML models in laymen and easy-to-understand ways.
Understand the importance of sensitivity specificity, and accuracy in classification problems. Learn how these metrics impact finding the optimum boundary.
This article focuses on answer retrieval from a document by using similarity and difference metrics. This task falls under NLP.
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