Build a Next Word Predictor fom your Whatsaap chat Using LSTM in Python: Step-by-Step Code Guide! скачать в хорошем качестве

Build a Next Word Predictor fom your Whatsaap chat Using LSTM in Python: Step-by-Step Code Guide!

Want to learn how to build a powerful next-word predictor using Python and deep learning? In this video, we’ll walk you through creating a next-word prediction model using LSTM (Long Short-Term Memory) networks. We’ll cover everything from data preprocessing and tokenization to building and training the model. You’ll learn how to clean text data, create n-grams, pad sequences, and use TensorFlow/Keras to create a working model. By the end of this tutorial, you’ll not only understand the code but also be able to build your own text prediction models! Perfect for beginners and deep learning enthusiasts. ✨ Key Topics Covered: Data preprocessing for NLP Tokenization and sequence creation Building an LSTM-based text prediction model Training and testing the model Don’t forget to like, share, and subscribe for more exciting AI and deep learning tutorials!