Zoomed Line Plot of Mean Result with Standard Error Bars and Population Mean

Estimate the Number of Experiment Repeats for Stochastic Machine Learning Algorithms

A problem with many stochastic machine learning algorithms is that different runs of the same algorithm on the same data return different results. This means that when performing experiments to configure a stochastic algorithm or compare algorithms, you must collect multiple results and use the average performance to summarize the skill of the model. This […]

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Stateful and Stateless LSTM for Time Series Forecasting with Python

Stateful and Stateless LSTM for Time Series Forecasting with Python

The Keras Python deep learning library supports both stateful and stateless Long Short-Term Memory (LSTM) networks. When using stateful LSTM networks, we have fine-grained control over when the internal state of the LSTM network is reset. Therefore, it is important to understand different ways of managing this internal state when fitting and making predictions with […]

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