Abstract: Artificial intelligence (AI) systems have made significant impact on the society in the recent years in a wide range of ... These advances have been driven by the development of deep ...
This repository contains PyTorch implementations of popular/recent optimization algorithms for deep learning, including SGD, SGD w/ momentum, SGD w/ Nesterov momentum, SGDW, RMSprop, Adam, Nadam, Adam ...
Artificial Intelligence (AI) continues to drive technological evolution, with recent advancements in deep learning and ...
Learning Deep Architectures for AI discusses the motivations for and principles of learning algorithms for deep architectures. By analyzing and comparing recent results with different learning ...
SHENZHEN, China - MicroCloud Hologram Inc. (NASDAQ: HOLO), a $35 million market cap technology service provider currently ...
Because the traditional matching cost calculation algorithm is difficult to meet the accuracy requirements of complex tasks. In recent years, deep learning methods have made successful breakthroughs ...
Recent advancements in technology ... showcasing the robustness of deep learning algorithms in medical imaging[3]. The integration of techniques such as data augmentation and ensemble learning ...
Recent advances in imaging and information technology have ... The objective of this Research Topic is to explore how big data, machine, and deep learning algorithms are being applied to precision ...
These platforms, equipped with deep learning algorithms, have opened a world of possibilities, enabling smart devices, autonomous systems, and intelligent applications. The deployment of deep learning ...
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