Analytics India Magazine

AI Chatbots Can't Optimise Industrial Plants. But Physics-Informed AI Can

KBR and Applied Computing are using physics-informed AI to enhance energy efficiency in industrial plants. Traditional industrial operations rely on experienced engineers and controlled processes, but ...
GitHub

LSTM and RNN Tutorial with Demo (with Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation)

What is Deep Learning (DL)? "Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks." There are ...
Hacker

Build an Abstractive Text Summarizer in 94 Lines of Tensorflow !! (Tutorial 6)

This tutorial is the sixth one from a series of tutorials that would help you build an abstractive text summarizer using tensorflow , today we would build an abstractive text summarizer in tensorflow ...
Scientific Research Publishing

Staudemeyer, R.C. and Morris, E.R. (2019) Understanding LSTM—A Tutorial into Long Short-Term Memory Recurrent Neural Networks.

ABSTRACT: This paper examines the effectiveness of the Differential autoregressive integrated moving average (ARIMA) model in comparison to the Long Short Term Memory (LSTM) neural network model for ...
Frontiers

An end-to-end LSTM-Attention based framework for quasi-steady-state CEST prediction

Structure diagram of LSTM-Attention. Motivated by the above, this paper aims to build an LSTM-Attention-based model for QUASS CEST prediction from non-steady-state CEST (i.e., CEST images with shorter ...
Scientific Research Publishing

Staudemeyer, R. C., & Morris, E. R. (2019). Understanding LSTM—A Tutorial into Long Short-Term Memory Recurrent Neural Networks.

ABSTRACT: This paper focuses on the use of machine learning models to forecast economic recessions caused by incidents such as the COVID-19 pandemic. Relevant economic variables are selected to fit ...