Project Name : Implement RNN from scratch and Build Movie Review Sentiment Analysis System скачать в хорошем качестве

Project Name : Implement RNN from scratch and Build Movie Review Sentiment Analysis System

Project Name : Implement fully functional Recurrent Neural Network from scratch and build Movie Review Sentiment Analysis System Overview: A large movie review dataset from IMDB was used to explore how sentiment (positive or negative) can be learned using sequence models. The objective was to implement a fully functional Recurrent Neural Network from scratch using only NumPy, without relying on deep learning frameworks. You have: 50,000 raw IMDB movie reviews labelled as either positive or negative. We will: Preprocess the raw text by building a vocabulary to tokenize pad each review to maintain consistent input length Build and implement a custom RNN model entirely from scratch using NumPy Train and evaluate the model using various metrics. Goal: This project helps build a strong understanding of how Recurrent Neural Networks work at the lowest level. The final model should be capable of predicting whether a movie review is positive or negative. For more Data Science, ML projects and System Design : https://naina0405.substack.com/