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www.paepper.com | ||
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gmd.copernicus.org
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| | | | | Abstract. Forecasting heavy precipitation accurately is a challenging task for most deep learning (DL)-based models. To address this, we present a novel DL architecture called multi-scale feature fusion (MFF) that can forecast precipitation with a lead time of up to 3?h. The MFF model uses convolution kernels with varying sizes to create multi-scale receptive fields. This helps to capture the movement features of precipitation systems, such as their shape, movement direction, and speed. Additionally, the... | |
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zserge.com
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| | | | | Neural network and deep learning introduction for those who skipped the math class but wants to follow the trend | |
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pyimagesearch.com
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| | | | | This gentle guide will show you how to implement, train, and evaluate your first Convolutional Neural Network (CNN) with Keras and deep learning. | |
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www.marekrei.com
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| | | Thoughts on Machine Learning and Natural Language Processing | ||
