The following outline is provided as an overview of and topical guide to deep learning:
Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can be either supervised, semi-supervised or unsupervised.
Other names for deep learning edit
- Deep machine learning
- Deep structured learning
- Hierarchical learning
What type of thing is deep learning? edit
Deep learning can be described as all of the following:
Branches of deep learning edit
History of deep learning edit
Deep learning architectures edit
Applications of deep learning technology edit
- Pattern recognition –
- Classification –
- Drug discovery –
- Toxicology –
- Customer relationship management –
- Recommendation systems –
- Biomedical informatics –
Deep learning hardware edit
Deep learning software edit
Deep learning libraries edit
Deep learning projects edit
Deep learning organizations edit
Deep learning publications edit
Persons influential in deep learning edit
See also edit
Further reading edit
- Understanding Convolutional Neural Networks (CNN), by Adit Deshpande, 2016
References edit
External links edit