Get the Most out of LSTMs on Your Sequence Prediction Problem - Machine Learning Mastery

Long Short-Term Memory (LSTM) Recurrent Neural Networks are a powerful type of deep learning suited for sequence prediction problems. A possible concern when using LSTMs is if the added complexity of the model is improving the skill of your model or is in fact resulting in lower skill than simpler models. In this post, you will discover simple experiments you can run to ensure you are getting the most out of LSTMs on your sequence prediction problem. Get the Most out of LSTMs on Your Sequence Prediction Problem Photo by DoD News, some rights reserved. The LSTM recurrent neural network has a few key capabilities that give the method its impressive power on a wide range of sequence prediction problems.