Building a Next Word Prediction Model with LSTM | NLP Tutorial

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🚀 Dive into the world of Natural Language Processing with our latest tutorial! In this video, we'll walk you through the process of building a Next Word Prediction system using LSTM, a type of recurrent neural network.

🤖 You'll learn the fundamentals of text preprocessing, model architecture, and training on a large corpus of text data. This project is perfect for both beginners and intermediate level developers looking to enhance their NLP skills.

🔥 What you'll find in this video:

Introduction to Next Word Prediction
Preprocessing text data for training
Building an LSTM model with Python and TensorFlow
Training the model and fine-tuning hyperparameters
Generating predictions and evaluating model performance
By the end of this tutorial, you'll have a solid understanding of how to create an LSTM-based next word prediction system, which can be used for applications like auto-suggestions in search engines, chatbots, and more.

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💡 Expand your knowledge and enhance your coding skills with this hands-on project! 💪

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🎬 Don't miss out on this amazing tutorial! Watch now and start building Next Word Prediction System. 🔐

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Can you do streamlit aspect too please. I working on something similar. Moreover I need a guide how you install your tensorflow cos mine is not working on visual studio

arogundademateen

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