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and models open new paradigms for analyzing ocean remote sensing data. However, unlike regular images where correlations are typically local—favoring the use of standard convolutional neural networks
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., Denil, M., Gomez, S., Hoffman, M. W., Pfau, D., Schaul, T., … & De Freitas, (2016). Learning to learn by gradient descent by gradient descent. Advances in neural information processing systems, 29
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
Neural Network Inference,” in Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Monterey California USA, Feb. 2017, pp. 65–74. doi: 10.1145/3020078.3021744. [7
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