Case study on LSTM | Deep learning | SNS Institutions.

LSTM is an advanced deep learning model used to process sequential data such as text, speech, and time-series information. It improves traditional Recurrent Neural Networks by solving the problem of remembering long-term information using memory cells and special gates.

✨ What’s Inside This Video?
✔ Introduction to Long Short-Term Memory (LSTM) in Deep Learning
✔ Understanding the limitations of traditional RNN and the vanishing gradient problem
✔ Explanation of LSTM architecture with memory cells and gates
✔ Step-by-step working of LSTM in sequence processing
✔ Case study: Sentiment analysis of movie reviews using LSTM
✔ Real-world applications like speech recognition, translation, text prediction, and chatbots #snsinstitutions #snsdesignthinkers #designthinking

Видео Case study on LSTM | Deep learning | SNS Institutions. канала Priyadharshini. S