Why is the Keras 3 Release a Big Deal for the Deep Learning Community?

Chart depicting use of different machine learning frameworks

The Keras package is an open-source library that provides a Python interface for deep learning. Keras is intended to be a user-friendly, modular, and extensible way to enable fast experimentation with deep neural networks. With Keras version 3, the package provides APIs for using three backends: TensorFlow, Jax, and PyTorch.

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SSEC Unidata Server Shutting Down in April 2024

The NSF Unidata server hosted at the Space Science and Engineering Center (SSEC) at the University of Wisconsin, Madison (unidata3.ssec.wisc.edu) will be permanently decomissioned on April 26, 2024.

Those using services provided by unidata3.ssec.wisc.edu can switch to using the servers described in this article.

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Shutdown of Two Special-Purpose THREDDS Data Servers

NSF Unidata will be shutting down two existing special-purpose THREDDS Data Servers on April 15, 2024. Please read the full article for details.

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K Nearest Neighbors

Fred Rogers

K Nearest Neighbors (KNN) is a supervised machine learning method that "memorizes" (stores) an entire dataset, then relies on the concepts of proximity and similarity to make predictions about new data. The basic idea is that if a new data point is in some sense "close" to existing data points, its value is likely to be similar to the values of its neighbors. In the Earth Systems Sciences, such techniques can be useful for small- to moderate-scale classification and regression problems.

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Quick Tips for ESS Machine Learning Projects

Your idea of what's entailed in setting up a supervised Machine Learning (ML) project as an Earth Systems scientist is probably not as fanciful as what an image generation algorithm came up with. But there are many little decisions ML practitioners make along the way when starting an Earth Systems Science (ESS) ML project. This article provides some tips and ideas to consider as you're getting started. These tips are not in any particular order, and like all things related to ML projects they depend on the specific types of data and project goals.

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News and information from the Unidata Program Center
News@Unidata
News and information from the Unidata Program Center

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