Draft:Outline of deep learning
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The following outline is provided as an overview of and topical guide to deep learning:
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Other names for deep learning
- Deep machine learning
- Deep structured learning
- Hierarchical learning
What ''type'' of thing is deep learning?
Deep learning can be described as all of the following:
- A type of technology
- Bleeding edge technology
- Computer technology
- Artificial neural networks
- A branch of science
- A branch of applied science
- A branch of computer science
- A branch of artificial intelligence
- a branch of machine learning
Branches of deep learning
History of deep learning
Deep learning architectures
Applications of deep learning technology
- Pattern recognition –
- Speech recognition –
- Image recognition –
- Classification –
- Topic classification –
- Topic classification –
- Sentiment analysis –
- Question answering –
- Language translation –
- Drug discovery –
- Toxicology –
- Customer relationship management –
- Recommendation systems –
- Biomedical informatics –
Deep learning hardware
Deep learning software
- Comparison of deep learning software
- AlexNet
- Amazon SageMaker
- Apache MXNet
- Apache SINGA
- Caffe (software)
- Chainer
- Deep Learning Studio
- Deeplearning4j
- DeepSpeed
- Horovod (machine learning)
- Keras
- Microsoft Cognitive Toolkit
- MindSpore
- ML.NET
- Neural Designer
- PyTorch
- Rnn (software)
- TensorFlow
- Theano (software)
- Torch (machine learning)
- VGGNet
= Deep learning libraries =
Deep learning projects
Deep learning organizations
Deep learning publications
Persons influential in deep learning
See also
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Further reading
- Understanding Convolutional Neural Networks (CNN), by Adit Deshpande, 2016
- [https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks/ Part 1: A Beginner's Guide To Understanding Convolutional Neural Networks]
- [https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks-Part-2/ Part 2: A Beginner's Guide To Understanding Convolutional Neural Networks, Part 2]
- [https://adeshpande3.github.io/adeshpande3.github.io/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html Part 3: The 9 Deep Learning Papers You Need To Know About]
References
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External links
{{Sister project links|Deep learning}}
- [http://www.teglor.com/b/deep-learning-libraries-language-cm569/ Deep Learning Libraries by Language]
- [https://mitprofessionalx.mit.edu/courses/course-v1:MITProfessionalX+DSx+2016_T1/about Data Science: Data to Insights from MIT (deep learning)]
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