# LSTM Articles Long Short-Term Memory (LSTM) Recurrent Neural Networks are designed for sequence prediction problems and are a state-of-the-art deep learning technique for challenging prediction problems. [Guide to Long Short-Term Memory Networks (LSTMs)](https://machinelearningmastery.com/start-here/#deeplearning) [Making Predictions with Sequences](https://machinelearningmastery.com/sequence-prediction/) [A Gentle Introduction to Long Short-Term Memory Networks](https://machinelearningmastery.com/gentle-introduction-long-short-term-memory-networks-experts/) [Introduction to Models for Sequence Prediction](https://machinelearningmastery.com/models-sequence-prediction-recurrent-neural-networks/) [The 5 Step Life-Cycle for Long Short-Term Memory Models in Keras](https://machinelearningmastery.com/5-step-life-cycle-long-short-term-memory-models-keras/) ## Data Preparation for LSTM [How to Reshape Input Data for Long Short-Term Memory Networks](https://machinelearningmastery.com/reshape-input-data-long-short-term-memory-networks-keras/) [How to One Hot Encode Sequence Data](https://machinelearningmastery.com/how-to-one-hot-encode-sequence-data-in-python/) [How to Remove Trends and Seasonality with a Difference Transform](https://machinelearningmastery.com/remove-trends-seasonality-difference-transform-python/) [How to Scale Data for Long Short-Term Memory Networks](https://machinelearningmastery.com/how-to-scale-data-for-long-short-term-memory-networks-in-python/) How to Prepare Sequence Prediction for Truncated BPTT How to Handle Missing Timesteps in Sequence Prediction Problems ## LSTM Behaviour A Gentle Introduction to Backpropagation Through Time Demonstration of Memory with a Long Short-Term Memory Network How to Use the TimeDistributed Layer for Long Short-Term Memory Networks How to use an Encoder-Decoder LSTM to Echo Sequences of Random Integers Attention in Long Short-Term Memory Recurrent Neural Networks ## Modeling with LSTM Generative Long Short-Term Memory Networks Stacked Long Short-Term Memory Networks Encoder-Decoder Long Short-Term Memory Networks CNN Long Short-Term Memory Networks [Diagnose Overfitting and Underfitting of LSTM Models](https://machinelearningmastery.com/diagnose-overfitting-underfitting-lstm-models/) [How to Make Predictions with Long Short-Term Memory Models](https://machinelearningmastery.com/make-predictions-long-short-term-memory-models-keras/) ## LSTM for Time Series [On the Suitability of LSTMs for Time Series Forecasting](https://machinelearningmastery.com/suitability-long-short-term-memory-networks-time-series-forecasting/) [Time Series Forecasting with the Long Short-Term Memory Network](https://machinelearningmastery.com/time-series-forecasting-long-short-term-memory-network-python/) [Multi-step Time Series Forecasting with Long Short-Term Memory Networks](https://machinelearningmastery.com/multi-step-time-series-forecasting-long-short-term-memory-networks-python/) [Multivariate Time Series Forecasting with LSTMs in Keras](https://machinelearningmastery.com/multivariate-time-series-forecasting-lstms-keras/) —————————- ## Deep Learning for Time Series Forecasting Deep learning neural networks are able to automatically learn arbitrary complex mappings from inputs to outputs and support multiple inputs and outputs. In fact, models such as MLPs, CNNs, and LSTMs offer a lot of promise for time series forecasting. [Guide to Deep Learning for Time Series Forecasting](https://machinelearningmastery.com/start-here/#deep_learning_time_series) [Taxonomy of Time Series Forecasting Problems](https://machinelearningmastery.com/taxonomy-of-time-series-forecasting-problems/) [How to Develop a Skillful Machine Learning Time Series Forecasting Model](https://machinelearningmastery.com/how-to-develop-a-skilful-time-series-forecasting-model/) [Comparing Classical and Machine Learning Algorithms for Time Series Forecasting](https://machinelearningmastery.com/findings-comparing-classical-and-machine-learning-methods-for-time-series-forecasting/) ### Model Types How to Develop MLPs for Time Series Forecasting [How to Develop CNNs for Time Series Forecasting](https://machinelearningmastery.com/how-to-develop-convolutional-neural-network-models-for-time-series-forecasting/) [How to Develop LSTMs for Time Series Forecasting](https://machinelearningmastery.com/how-to-develop-lstm-models-for-time-series-forecasting/) ### Human Activity Recognition (multivariate classification) How to Model Human Activity From Smartphone Data How to Develop CNN Models for Human Activity Recognition How to Develop RNN Models for Human Activity Recognition ### Forecast Electricity Usage (multivariate, multi-step) How to Load and Explore Household Electricity Usage Data [Multi-step Time Series Forecasting with Machine Learning](https://machinelearningmastery.com/multi-step-time-series-forecasting-with-machine-learning-models-for-household-electricity-consumption/) [How to Develop CNNs for Multi-Step Time Series Forecasting](https://machinelearningmastery.com/how-to-develop-convolutional-neural-networks-for-multi-step-time-series-forecasting/) ### Forecast Air Pollution (multivariate, multi-step) [Load, Visualize, and Explore a Air Pollution Forecasting](https://machinelearningmastery.com/how-to-load-visualize-and-explore-a-complex-multivariate-multistep-time-series-forecasting-dataset/) [Develop Baseline Forecasts for Air Pollution Forecasting](https://machinelearningmastery.com/how-to-develop-baseline-forecasts-for-multi-site-multivariate-air-pollution-time-series-forecasting/) [Develop Autoregressive Models for Air Pollution Forecasting](https://machinelearningmastery.com/how-to-develop-autoregressive-forecasting-models-for-multi-step-air-pollution-time-series-forecasting/) [Develop Machine Learning Models for Air Pollution Forecasting](https://machinelearningmastery.com/how#to-develop-machine-learning-models-for-multivariate-multi-step-air-pollution-time-series-forecasting/) ## Tuning [How to Grid Search Hyperparameters for Deep Learning Models in Python With Keras](https://machinelearningmastery.com/grid-search-hyperparameters-deep-learning-models-python-keras/) [A Practical Introduction to Grid Search, Random Search, and Bayes Search](https://towardsdatascience.com/a-practical-introduction-to-grid-search-random-search-and-bayes-search-d5580b1d941d?gi=c4f3f0ee4378) [Hyperparameter Tuning Methods - Grid, Random or Bayesian Search?](https://towardsdatascience.com/bayesian-optimization-for-hyperparameter-tuning-how-and-why-655b0ee0b399?gi=68cca7c0df4b)