Movie Review Sentiment Analysis Project Part-5 | Building Embedding and LSTM Model using Tensorflow скачать в хорошем качестве

Movie Review Sentiment Analysis Project Part-5 | Building Embedding and LSTM Model using Tensorflow

Welcome to Part 5 of the Movie Review Sentiment Analysis Project! In this video of the Movie Review Sentiment Analysis Project series, we cover how to build a deep learning model for text sentiment classification using TensorFlow. ✨ What you’ll learn in this video: 🔹 How to create Word Embeddings in TensorFlow 🔹 Basics of LSTM (Long Short-Term Memory) RNNs for text data 🔹 Why do we use LSTM instead of CNN for NLP tasks 🔹 Step-by-step implementation of an LSTM RNN model in TensorFlow 🚀 By the end of this session, you’ll understand how to design an LSTM architecture for sentiment analysis. 👉 In the next video, we will train the model, monitor its performance, and evaluate results on movie reviews. 🔗 Previous Video (Text Vectorization in NLP Explained):    • Movie Review Sentiment Analysis Project Pa...   🔗 IMDB Dataset: https://www.kaggle.com/datasets/laksh... 🔗 Project Resources: https://drive.google.com/drive/folder... 🔗 Full Playlist:    • Movie Review Sentiment Analysis Project fr...   🔗 LSTM Blog: https://colah.github.io/posts/2015-08... 🔗 RNN Stanford: https://stanford.edu/~shervine/teachi... 🔗 Tensorflow Embedding Layer: https://www.tensorflow.org/api_docs/p... 👍 Don’t forget to Like, 💬 Comment, and 🔔 Subscribe for more tutorials on NLP, TensorFlow, and Deep Learning projects. #TensorFlow #LSTM #SentimentAnalysis #DeepLearning #NLP #MovieReviews