LSTM - Long Short Term Memory explained with Example

This video explains Long Short Term Memory(LSTM) networks indetailed with example LSTM (Long Short-Term Memory) networks are a type of recurrent neural network used in deep learning for sequence prediction. In this video, I explain how LSTM works with intuitive examples and simple visualizations Video Chapters: Deep Learning - RNNs and LSTMs 0:00 — Introduction to Recurrent Neural Networks (RNN) 0:18 — The Problem with Simple RNNs 0:29 — Vanishing and Exploding Gradients 0:54 — Introduction to LSTM (Long Short-Term Memory) 1:33 — Understanding LSTM Gates 3:27 — The Forget Gate 5:14 — The Input Gate and Candidate Layer 6:30 — Updating the Cell State 8:10 — The Output Gate 11:07 — Summary of LSTM Operations 14:00 — Advantages and Use Cases Deep Learning PlayList https://www.youtube.com/playlist?list=PLUnv8DUpdBgQKJSE2CETEvD-UUKvr70Mj Data Structures and Algorithms PlayList https://www.youtube.com/playlist?list=PLUnv8DUpdBgS4QTrjR5kqMfSx05q7BrfY DBMS Full PlayList https://www.youtube.com/playlist?list=PLUnv8DUpdBgRjw5xRBPC4RwEUzH3hhYN7 Data Analytics Full PlayList https://www.youtube.com/playlist?list=PLUnv8DUpdBgQ6BAk2aPfU4FSh34-NIk3s Cryptography and Network Security PlayList https://www.youtube.com/playlist?list=PLUnv8DUpdBgSyM_OHc-3CDYWQyEKxtng6 #AksharaDeepLearning