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Contrastive Learning for Multivariate Time Series Classification: an Early Fusion Approach. p. 1. Shen, Xuan Wang, Yaohua Lin, Ming Huang, Yilun Tang, Hao Sun, Xiuyu and Wang, Yanzhi 2023. DeepMAD: ...

The background theory of deep learning is introduced step-by-step, and by incorporating modeling fundamentals this book explains how to implement deep learning in a variety of modalities, including ...

Here’s a look at a handful of helpful, high-quality LinkedIn Learning courses for beginners—each available ... neural ...

What are the best books on deep learning for beginners? For beginners, some of the best books on deep learning are “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville ...

In the rapidly advancing field of computational biology, a review explores the transformative role of deep learning ...

The future of chimpanzees depends on smart conservation strategies, and that requires data, lots of data. Ecologist Adrienne ...

In recent years, the application of deep learning techniques for time series prediction has surged, owing to their capacity to grasp intricate temporal patterns. However, their efficacy across various ...

Here are the best telescopes for deep space — gaze far into the night sky and see star clusters and rare objects like the elusive 'blaze star.' Be prepared for the Black Friday sales. The best ...