Notes:
Long Short-Term Memory (LSTM) is a type of recurrent neural network (RNN) that is used for modeling temporal data and making predictions based on that data. It is particularly well-suited for tasks that require the network to remember and use information from long periods of time, such as language translation or speech recognition.
The key feature of LSTM is its ability to remember and use information from previous time steps over a long period of time. It does this using a set of memory cells, which are units within the network that can store and access information from previous time steps. These memory cells are combined with input, output, and forget gates, which control the flow of information into and out of the memory cells.
LSTMs are widely used for a variety of tasks, including natural language processing, speech recognition, machine translation, and time series forecasting. They are particularly effective at tasks that require the model to remember and use information from long periods of time, and have been used to achieve state-of-the-art results on a number of benchmark datasets.
Resources:
- keras.io .. python deep learning api
See also:
LSTM (Long Short Term Memory) & Dialog Systems 2019
- LSTM RNN Demo
- Deep Learning: Long Short-Term Memory Networks (LSTMs)
- The Aficionado (DEMO) – Deep learning real time music classification (LSTM RNN)
- IMDB Review Sentiment Prediction using CNN LSTM on Deep Learning Studio
- Auto-Conditioned LSTM Network for Extended Complex Human Motion Synthesis (ArXiv 2017)
- IMDB Review Sentiment Prediction using LSTM on Deep Learning Studio
- Patient Subtyping via Time-Aware LSTM Networks
- Auto-Conditioned LSTM Network for Extended Complex Human Motion Synthesis
- Sequence Classification with LSTM Recurrent Neural Networks with Keras | Deep Learning Tutorial
- REDES NEURONALES RECURRENTES RNN y LSTM – IA (2019) – INTRO
- Jazz Improvisation with LSTM – Deep Learning – Coursera
- Accelerated Natural Language Processing 3.5 – Long Short Term Memory (LSTM) Networks
- Sentiment analysis using LSTM recurrent neural networks app demo
- Long Short Term Memory (LSTM) Recurrent Neural Network (RNN) Classical Piano Music Generation
- Atari Seaquest learned with LSTM network using CMAES algorithm
- Space Invaders learned with LSTM network using Natural Evolution Strategies
- Jazz Improvisation with LSTM Take 2 – More epochs, more generated sounds – Deep Learning – Coursera
- Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks
- IBM Log Analysis | LSTM | Neural Network| Hack-a-Roo Fall 18 | UMKC
- DeepRAP, generate Rap with deep learning (LSTM Network)
- Hands-On Python Deep Learning : Introduction to LSTM | packtpub.com
- Demonstration on Pose Estimation Underwater with LSTM Action Prediction
- 401K case study with LSTM and GRU neural networks for financial time series using Keras
- Prediction with an LSTM Network
- LSTM sentiment predictor demo
- Microscopy Cell Segmentation via Convolutional LSTM Networks
- Bach – Fugues – LSTM – Deep Learning
- LSTM-based Neural Network can remove MoCap noise
- Deep Learning | Sentiment Analysis | LSTM
- LSTM Introduction
- How to predict a timeseries using LSTM in Keras
- Training Deep Bidirectional LSTM Acoustic Model for LVCSR by a Context Sensitive Chunk BPTT Approach
- Alchemy (Generated by LSTM network architecture)
- Machine Learning: Introduction to Long-Short Term Memory (LSTM)
- Artificial Intelligence (LSTM neural network) trained to play classical music
- Berezutskaya Julia – Modeling brain responses to perceived speech with LSTM networks
- Jazz by Robby, an LSTM Network AI creation
- CoronaVirus2019 Confirmed Using LSTM Algorithm Deep Learning
- Lab 3| Deep Learning| Image Classification with CNN| Text Classification with LSTM
- Demo : Applying LSTM for Stock Market Prediction
- LSTM Network v1.2.1
- LSTM Network Testing
- How to setup a LSTM RNN model for imdb sentiment analysis in Keras
- Getting Started with TensorFlow 2.0 for Deep Learning :LSTM & Recurent Neural Netwrk|packtpub.com
- Chord Progression and Music Estimation Using LSTM Networks
- Demo of an AI Driven Home Automation Using Keras LSTM
- Improvise a Jazz Solo with an LSTM Network (result from Andrew Ng’s Sequence Model course)
- LSTM-based Network for Human Gait Stability Prediction in an Intelligent Robotic Rollator
- Deep Visual Servoing with LSTM: Pick and Drop
- Spatial LSTM Networks create 3D Ideas ? Zahra M.M.A. Sadiq
- Rusty: Runtime System Predictability Leveraging LSTM Neural Networks
- How an LSTM neural network learns as epochs change.
- LSTM TD Deep Q Learning
- Automatic image captioning using Show and Tell (ConvNet + LSTM) deep learning model
- Demonstration – Pedestrian intention using LSTM neural network
- LSTM Neural Network Song Composer
- LSTM neural network for textual ngrams
- Fitting calcium imaging data with an LSTM network
- Using an LSTM Neural Network to Classify Cricket Shots
- Vallejo LSTM – neural network
- Chord Progression and Music Estimation Using LSTM Networks
- Sentiment Analysis LSTM Networks – Final project for CSCI S-89 Summer 2019
- Sentiment Analysis LSTM Networks Tran, Andy 2-Minutes Video
- 20161230 neural network captioning with lstm
- SIR + LSTM Model for Pandemic forecasting in India Demo
- Lstm neural network trying out
- Classification of Hand Movements From EEG Using a Deep Attention Based LSTM Network
- Dynamic Head-Collision avoidance using LSTM network
- Artificial Intelligence #6 : LSTM Neural Networks with Keras – learn Neural Networks
- Demo Anak LSTM
- Deep C LSTM Neural Network for Epileptic Seizure and Tumor Detection Using High Dimension EEG Signal
- An Integrated LSTM Neural Networks Approach to Sustainable Balanced Scorecard Based Early Warning Sy
- Multi Lane Short Term Traffic Forecasting With Convolutional LSTM Network