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Deep learning (deep structured learning, hierarchical learning or deep machine learning) is a branch of Machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers, with complex structures or otherwise, composed of multiple non-linear transformations. (https://en.wikipedia.org/wiki/Deep_learning)
Machine learning 알고리즘 가운데 한 셋. Artificial neural network의 변형.
관련정보
- A Guide to Deep Learning by YN2: 방대한 자료
- Awesome - Most Cited Deep Learning Papers
- Deep learning for complete beginners: Recognising handwritten digits
관련 라이브러리
관련논문
관련포스팅
- A Complete Guide on Getting Started with Deep Learning in Python
- The Evolution and Core Concepts of Deep Learning & Neural Networks
- A Practical Introduction to Deep Learning with Caffe and Python : Caffe와 Python으로 실습해 보기
- 쉽게 풀어쓴 딥러닝(Deep Learning)의 거의 모든 것
- 딥러닝 역사와 현재, 그리고 보건학으로의 적용
- What is deep learning, and why should you care?
- 딥 러닝 (Deep Learning), 한번 살펴보고 가실께요.
관련 응용 프로그램