LSTM Networks: Explained Step by Step!

Why we need LSTM networks, how they work step by step, and full explanations: visual and mathematical! 0:00 Problem with Simple RNNs 11:45 Goal of LSTM 12:55 Introducing the Cell State 14:27 Step 1: The Candidate Cell State 15:52 Step 2: The Forget Gate 17:48 Step 3: The Input Gate 18:18 Step 4: The New Cell State 21:15 Step 5: The Output Gate 22:31 Step 6: The New Output State 22:57 Visual Diagram 27:14 Recap all Variables 29:49 Why does this work? My Patreon : https://www.patreon.com/user?u=49277905 --- RNN Video : https://www.youtube.com/watch?v=DFZ1UA7-fxY Vanishing Gradient Video : https://www.youtube.com/watch?v=ncTHBi8a9uA Intro to Neural Networks : https://www.youtube.com/watch?v=xx1hS1EQLNw Backpropagation : https://www.youtube.com/watch?v=kbGu60QBx2o --- Icon References: Dog icons created by Freepik - Flaticon https://www.flaticon.com/free-icons/dog Gate icons created by Freepik - Flaticon https://www.flaticon.com/free-icons/gate Memory icons created by Freepik - Flaticon https://www.flaticon.com/free-icons/memory Crystal ball icons created by Freepik - Flaticon https://www.flaticon.com/free-icons/crystal-ball Khao manee cat icons created by Pixel perfect - Flaticon https://www.flaticon.com/free-icons/khao-manee-cat