Deep learning


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Deep learning

| created by janarez | Add resource "Deep Learning"
Title
Deep learning
Description
Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, machine vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance. Artificial neural networks (ANNs) were inspired by information processing and distributed communication nodes in biological systems.
Link
https://en.wikipedia.org/?curid=32472154

resources

relates to Going deeper with convolutions
v1 | attached by janarez | Add resource "Deep Learning"
relates to Deep Learning in Computer Vision
v1 | attached by janarez | Add resource "Deep Learning"
treated in Deep Learning
v1 | attached by janarez | Add resource "Deep Learning"
treated in LabML Neural Networks
v1 | attached by jjones | Add resource "LabML Neural Networks"
treated in Dive into Deep Learning
v1 | attached by janarez | Add resource "Dive into Deep Learning"
treated in Deep Learning
v1 | attached by janarez | Add resource "Dive into Deep Learning"

authors

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topics

subtopic of Computer science
v1 | attached by janarez | Add resource "Deep Learning"
parent of Computer vision
v1 | attached by janarez | Add resource "Deep Learning"
uses Computer programming
v1 | attached by janarez | Add resource "Deep Learning"
relates to Machine learning
v1 | attached by janarez | Add resource "Deep Learning"
used by Data science
v1 | attached by janarez | Edit topic "Topological data analysis (TDA)"
relates to Big data
v1 | attached by janarez | Add resource "The Pathologies of Big Data"
uses Backpropagation
v1 | attached by janarez | Add topic "Backpropagation"
parent of Reinforcement learning
v1 | attached by janarez | Add topic "Q-learning"
cons given in Adversarial machine learning
v1 | attached by janarez | Add topic "Adversarial machine learning"
parent of Graph neural network
v1 | attached by jjones | Add topic "Graph neural network"