Understanding LSTM Networks with Forward and Backward Propagation Mathematical Intuitions
Developed by : tejask0512 Recurrent Neural Networks Humans don’t begin their thought process from zero every moment. As you read this essay, you interpret each word in the context of the ones that came before it. You don’t discard everything and restart your thinking each time — your thoughts carry forward. Conventional neural networks lack […]
Types of Recurrent Neural Networks: Architectures, Examples and Implementation
Recurrent Neural Networks (RNNs) are powerful sequence processing models that can handle data with temporal relationships. Unlike traditional feedforward neural networks, RNNs have connections that form directed cycles, allowing them to maintain memory of previous inputs. This makes them particularly effective for tasks involving sequential data like text, speech, time series, and more. In this […]
Deep Learning For NLP Prerequisites
Understanding RNN Architectures for NLP: From Simple to Complex Natural Language Processing (NLP) has evolved dramatically with the development of increasingly sophisticated neural network architectures. In this blog post, we’ll explore various recurrent neural network (RNN) architectures that have revolutionized NLP tasks, from basic RNNs to complex encoder-decoder models. Simple RNN: The Foundation What is […]
Comprehensive Guide to NLP Text Representation Techniques
Natural Language Processing (NLP) requires converting human language into numerical formats that computers can understand. This guide explores major text representation techniques in depth, comparing their strengths, weaknesses, and practical applications. 1. One-Hot Encoding One-hot encoding is a fundamental representation technique that forms the conceptual foundation for many text representation methods. How It Works One-hot […]
Text Mining with Regex
🔍 Text Mining & Regex in Feature Engineering Unlocking Value from Unstructured Text Data 🧠 What is Text Mining? Text Mining (also called Text Analytics) is the process of deriving useful insights, patterns, and structure from unstructured textual data. Since over 80% of real-world data is unstructured (emails, chats, reviews, social media, documents), text mining […]