Difference between revisions of "Deep Learning"
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[http://www.youtube.com/results?search_query=deep+learning+Neural+Network YouTube search...] | [http://www.youtube.com/results?search_query=deep+learning+Neural+Network YouTube search...] | ||
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* [[Other Challenges]] of Machine Learning | * [[Other Challenges]] of Machine Learning | ||
Revision as of 22:40, 2 February 2019
YouTube search... ...Google search
- Other Challenges of Machine Learning
- Deep Neural Network (DNN)
- (Deep) Convolutional Neural Network (DCNN/CNN)
- (Deep) Residual Network (DRN) - ResNet
- Deep Belief Network (DBN)
- ResNet-50
- The Anatomy of Deep Learning Frameworks | Gokula Krishnan Santhanam
Deep learning models are vaguely inspired by information processing and communication patterns in biological nervous systems yet have various differences from the structural and functional properties of biological brains, which make them incompatible with neuroscience evidences. “Deep Learning is an algorithm which has no theoretical limitations of what it can learn; the more data you give and the more computational time you provide, the better it is” Learning Multiple Layers of Representation | Geoffrey Hinton
