Cerebral LSTM implementation in Pytorch

This repository contains experimental results and the comparitive study and implementation of Cerebral LSTM, presented in the paper "Cerebral LSTM: A Better Alternative for Single- and Multi-Stacked LSTM Cell-Based RNNs". Research paper is published in SN Computer Science Springer Nature Journal.

Paper Title: Cerebral LSTM: A Better Alternative for Single- and Multi-Stacked LSTM Cell-Based RNNs

Author: Ravin Kumar

Publication: 14th March 2020

View Published Paper: click here

PDF available on Research Gate: click here

Doi: https://doi.org/10.1007/s42979-020-0101-1

Cite as:

Kumar, R. Cerebral LSTM: A Better Alternative for Single- and Multi-Stacked LSTM Cell-Based RNNs. 
SN COMPUT. SCI. 1, 85 (2020). https://doi.org/10.1007/s42979-020-0101-1

Architecture Description:

• Pytorch Implementation of Cerebral LSTM is available in Cerebral_LSTM/Cerebral_LSTM_Implementation_in_Pytorch.ipynb file.

• For the training loss graphs present in the research paper, see the below structure:

|
|-data
|
|-loss_values
      |
      |
      |- 2stack_lstm.txt 
      |
      |- proposed_model.txt
      |
      |- single_lstm.txt
      

• 'data' directory contains dataset used for comparison.
• 'loss_values' directory contains record of training loss for each model to perform comparative analysis.

Copyright (c) 2019-2023 Ravin Kumar
Website: https://mr-ravin.github.io

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