Long Short-Term Memory (LSTM) Recurrent Neural Networks are able to learn the order dependence in long sequence data. They are […]

# Archive | Long Short-Term Memory Networks

## The 5 Step Life-Cycle for Long Short-Term Memory Models in Keras

Deep learning neural networks are very easy to create and evaluate in Python with Keras, but you must follow a […]

## A Gentle Introduction to Long Short-Term Memory Networks by the Experts

Long Short-Term Memory (LSTM) networks are a type of recurrent neural network capable of learning order dependence in sequence prediction […]

## Learn to Add Numbers with an Encoder-Decoder LSTM Recurrent Neural Network

Long Short-Term Memory (LSTM) networks are a type of Recurrent Neural Network (RNN) that are capable of learning the relationships […]

## How to Use the TimeDistributed Layer in Keras

Long Short-Term Networks or LSTMs are a popular and powerful type of Recurrent Neural Network, or RNN. They can be […]

## How to use Different Batch Sizes when Training and Predicting with LSTMs

Keras uses fast symbolic mathematical libraries as a backend, such as TensorFlow and Theano. A downside of using these libraries […]

## Demonstration of Memory with a Long Short-Term Memory Network in Python

Long Short-Term Memory (LSTM) networks are a type of recurrent neural network capable of learning over long sequences. This differentiates […]

## Crash Course in Recurrent Neural Networks for Deep Learning

There is another type of neural network that is dominating difficult machine learning problems that involve sequences of inputs called […]