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Deep learning is a machine learning method based on neural networks with multiple layers of abstraction. Learn about its applications, interpretations, and historical development from this comprehensive Wikipedia article.
Uczenie głębokie, deep learning – podkategoria uczenia maszynowego (ang. machine learning), która polega na tworzeniu głębokich sieci neuronowych (sieci z wieloma poziomami neuronów). Techniki głębokiego uczenia mają za zadanie udoskonalić m.in. automatyczne przetwarzanie mowy, rozpoznawanie obrazów i przetwarzania języka naturalnego.
Deep learning is a subset of machine learning that uses multilayered neural networks, called deep neural networks, to simulate the complex decision-making power of the human brain. Some form of deep learning powers most of the artificial intelligence (AI) applications in our lives today.
16 paź 2023 · Learn what deep learning is, how it works, and why it is important for artificial intelligence. Explore the core concepts, applications, and examples of deep learning with neural networks and activation functions.
29 lis 2023 · Deep learning, będący kluczową częścią sztucznej inteligencji, to rodzaj uczenia maszynowego, które wykorzystuje sieci neuronowe o wielu warstwach do modelowania złożonych wzorców w danych.
27 maj 2015 · Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically...
18 sie 2021 · In our taxonomy, we take into account deep networks for supervised or discriminative learning, unsupervised or generative learning as well as hybrid learning and relevant others. We also summarize real-world application areas where deep learning techniques can be used.
