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Predicting sepsis prognosis using deep learning with routine biomarkers. [PDF]

Front Med (Lausanne)
Gan QY, Li X, Xue Y, Deng H, Huang YH, Li ZN.   +5 more
europepmc   +1 more source

Deep learning-based approaches for weed detection in crops. [PDF]

Front Plant Sci
Zhao H, Wang Y.
europepmc   +1 more source

Is deep learning the same as deep learning? : perspectives on the construct of deep learning

, 2018
openaire   +1 more source

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Deep Learning

Informatik-Spektrum, 2016
Deep learning is a branch of machine learning that tries to model high-level abstractions of data using multiple layers of neurons consisting of complex structures or non-liner transformations. With the increase of the amount of data and the power of computation, neural networks with more complex structures have attracted widespread attention and been
Xing Hao, Guigang Zhang, Shang Ma
openaire   +2 more sources

A survey on deep learning and deep reinforcement learning in robotics with a tutorial on deep reinforcement learning

Intelligent Service Robotics, 2021
This article is about deep learning (DL) and deep reinforcement learning (DRL) works applied to robotics. Both tools have been shown to be successful in delivering data-driven solutions for robotics tasks, as well as providing a natural way to develop an end-to-end pipeline from the robot’s sensing to its actuation, passing through the generation of a ...
Eduardo F. Morales 0001, Rafael Murrieta-Cid, Israel Becerra, Marco A. Esquivel-Basaldua   +3 more
openaire   +1 more source