Branch of machine learning · Deep learning · YYNN

Deep learning

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Branch of machine learning

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deep learning model

description of a deep learning network

Diffusion model

Deep learning algorithm

Neural network that learns efficient data encoding in an unsupervised manner

Instances
1

Recurrent neural network

Class of artificial neural network

Subclasses
2

Deep reinforcement learning

Machine learning that combines deep learning and reinforcement learning

deep transfer learning

set of methods involving transfer learning and deep neural networks

Subject of
27

The VISPA internet-platform in deep learning applications

scholarly article by Martin Erdmann et al published September 2018 in Journal of Physics: Conference Series

Scaling up data curation using deep learning: An application to literature triage in genomic variation resources

scientific article published on 13 August 2018

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

scholarly article by Guotai Wang et al published July 2018 in IEEE Transactions on Medical Imaging

Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment

scientific article published on 08 August 2019

Relational inductive biases, deep learning, and graph networks

Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning

scientific article

CADD-Splice-improving genome-wide variant effect prediction using deep learning-derived splice scores

scientific article published on 22 February 2021

Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells

scientific article published on 21 October 2020

A novel deep learning conditional generative adversarial network for producing angiography images from retinal fundus photographs

scientific article published on 09 December 2020

A DEEP LEARNING PROGNOSTIC MODEL FOR EARLY PREDICTION OF ALZHEIMER’S DISEASE BASED ON HIPPOCAMPAL MRI DATA

scholarly article by Hongming Li et al published July 2018 in Alzheimer's and Dementia

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Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data. The adjective "deep"...

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machine learning method

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