Implementation of Deep Galerkin Method(DGM),getting DGM to work on the Framework of a LSTM network -- 2

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I am looking for someone to recreate the code from the following paper with one working example

[login to view URL]~ali/papers/PDEandDeepLearning.pdf#chapter.1

I am interested in an implementation of 6.5 (and possibly 6.2)

This is a deep learning code written in Python/ Tensorflow.

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This is the url where you can see them

Each Notebook's 1st cell has a description of what the Notebook is about:

LSTM-stocks-prediction: Contains a LSTM model written from scratch in Tensorflow - this illustrates how LSTM cells work - it is my opinion that someone more versed than me will easily be able to convert this model to a DGM.

LSTM-Neural-Network-for-Time-Series-Prediction: Contains a more sophisticated LSTM model

PDE_DGM: Contains a very basic LSTM in Keras and Tensorflow

算法 机器学习(ML) Python 软件构架 Tensorflow

项目ID: #18395489

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dinhfreedom

Dear sir. Your project attracted my attention at first glance, because I've extensive experience in LSTM Model Programming. I'm really confident about your project, and very eager to join your project. If we have a 更多

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Valuesolutions

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AlekseiBass

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andreiwasiliv

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