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Deep learning
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Branch of machine learning
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Diffusion model
Deep learning algorithm
deep learning model
description of a deep learning network
Autoencoder
Neural network that learns efficient data encoding in an unsupervised manner
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Recurrent neural network
Class of artificial neural network
Subclasses 2
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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
article
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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Wikipedia

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"...

Subclass of
machine learning method
References
Wikidata