IEEE

Improved 3-D LSTM: A Video Prediction Approach to Long Sequence Load Forecasting

Abstract: Power load forecasting is the foundation of maintaining power grid stability, and can assist in decision-making to reduce operating costs. Fine-grained long sequence load forecasting ...
IEEE

V-LSTM: An Efficient LSTM Accelerator Using Fixed Nonzero-Ratio Viterbi-Based Pruning

Abstract: Long short-term memory (LSTM) has been widely adopted in tasks with sequence data, such as speech recognition and language modeling. LSTM brought significant accuracy improvement by ...
GitHub

LSTM on CPU is significantly slower on PyTorch compared to other frameworks

I’ve been experimenting with different models and different frameworks, and I’ve noticed that, when using CPU, training a LSTM model on the IMDB dataset is 3x to 5x slower on PyTorch (around 739 ...
Visual Studio Magazine

Sentiment Classification of IMDB Movie Review Data Using a PyTorch LSTM Network

This demo from Dr. James McCaffrey of Microsoft Research of creating a prediction system for IMDB data using an LSTM network can be a guide to create a classification system for most types of text ...
GitHub

Import ONNX LSTM converted from PyTorch

I am trying to import a simple LSTM network converted from Pytorch to ONNX. The model imports and executes perfectly in both PyTorch and ONNX. When I try to import in ...
marktechpost

Implementing Batching for Seq2Seq Models in Pytorch

In this tutorial, we will discuss how to implement the batching in sequence2sequene models using Pytorch. We will implement batching by building a Recurrent Neural Network to classify the nationality ...
marktechpost

Classifying the Name Nationality of a Person using LSTM and Pytorch

The personal name tends to have different variations from country to country or even within a country. Typically the name of a person can be broken into two halves. The first name is the name given at ...