Showing entries tagged [neural]

Book Review - StatQuest Guide to Neural Networks

Book cover

The StatQuest Illustrated Guide to Neural Networks and AI: With hands-on examples in PyTorch!!! strikes an excellent balance between accessibility and technical depth. Josh Starmer, PhD, builds on his previous work while making neural networks approachable for both students and practitioners. This book has a similar feel and vibe to the previous book, The StatQuest guide to Machine Learning.

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Convolutional Neural Networks (CNNs) for Earth Systems Science

Process of conovolving a filter with an image

Convolutional Neural Networks (CNNs) are a powerful class of deep learning models widely applied in Earth science for image analysis, classification, and regression problems. Leveraging the Keras framework in python, CNNs can efficiently process and extract spatial features from 2D and 3D remote sensing, model output, and other Earth Systems Science (ESS) data types.

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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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