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Deep Learning (book)

Deep Learning book

12 mentions · across 2 shows · also seen as concept

In machine learning, deep learning (DL) focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and revolves around stacking artificial neurons into layers and "training" them to process data. The adjective "deep" refers to the use of multiple layers in the network. Methods used can be supervised, semi-supervised or unsupervised.

https://en.wikipedia.org/wiki/Deep_learning

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description:book-authored 280 | François Chollet on Deep Learning and the Meaning of I
author of Deep Learning with Python
description:book-authored 280 | François Chollet on Deep Learning and the Meaning of I
author of Deep Learning with Python
title:topic Yoshua Bengio: Deep Learning
Yoshua Bengio: Deep Learning
title:topic-colon #306 – Oriol Vinyals: Deep Learning and Artificial General I
#306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence
title:topic-colon #94 – Ilya Sutskever: Deep Learning
#94 – Ilya Sutskever: Deep Learning
title:topic-colon #73 – Andrew Ng: Deep Learning, Education, and Real-World AI
#73 – Andrew Ng: Deep Learning, Education, and Real-World AI