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Python: Real-time Automated Long Short Term Memory (LSTM) Short-term Load Forecasting & Plotting

TABLE OF CONTENT
Introduction 00:00:00
Introduction of LSTM 00:00:52
Introduction of RNN 00:13:03
From RNN to LSTM 00:22:56
How to build a LSTM 00:31:41
* How to build a Neural Network https://www.youtube.com/watch?v=UJ38TToVJgM
Programming Exercise 00:42:59
Details of short-term load forecasting problem 00:43:02
Python
– Data Preparation 00:44:00
– Developing LSTM 01:03:57
– Real-time Model Prediction 01:18:19
– Real-time Plotting 1:28:10

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LSTM Signals – The mathematics of Information (Long weekend 8)

Recurrent Networks can be improved to remember long range dependencies by using whats called a Long-Short Term Memory (LSTM) Cell. Let’s build one using just numpy! I’ll go over the cell components as well as the forward and backward pass logic.

Code for this video:
https://github.com/llSourcell/LSTM_Networks

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More learning resources:


Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs


https://iamtrask.github.io/2015/11/15/anyone-can-code-lstm/

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