Deep Learning
@article{Goodfellow2015DeepL,
title={Deep Learning},
author={I. Goodfellow and Yoshua Bengio and Aaron C. Courville},
journal={Nature},
year={2015},
volume={521},
pages={436-444}
}Machine-learning technology powers many aspects of modern society: from web searches to content filtering on social networks to recommendations on e-commerce websites, and it is increasingly present in consumer products such as cameras and smartphones. [...] Key Method Representation learning is a set of methods that allows a machine to be fed with raw data and to automatically discover the representations needed for detection or classification.Expand
Figures, Tables, and Topics from this paper
figure 1.1 
figure 1.10 
figure 1.11 
figure 1.12 
figure 1.2 
figure 1.3 
figure 1.4 
figure 1.5 
figure 1.6 
figure 1.7 
figure 1.8 
figure 1.9 
figure 2.1 
figure 2.3 
figure 3.1 
figure 3.2 
figure 3.3 
figure 3.4 
figure 3.5 
figure 3.6 
figure 3.7 
figure 3.8 
figure 4.1 
figure 4.2 
figure 4.3 
figure 4.4 
figure 4.5 
figure 4.6 
figure 5.1 
figure 5.10 
figure 5.11 
figure 5.12 
figure 5.13 
figure 5.2 
figure 5.3 
figure 5.4 
figure 5.5 
figure 5.6 
figure 5.7 
figure 5.8 
figure 5.9 
figure 6.1 
figure 6.10 
figure 6.11 
figure 6.2 
figure 6.3 
figure 6.4 
figure 6.5 
figure 6.6 
figure 6.7 
figure 6.8 
figure 6.9 
figure 7.1 
figure 7.2 
figure 7.3 
figure 7.4 
figure 7.5 
figure 7.7 
figure 7.8 
figure 7.9 
figure 8.1 
figure 8.2 
figure 8.3 
figure 8.4 
figure 8.5 
figure 8.6 
figure 8.7 
figure 9.1 
figure 9.10 
table 9.1 
figure 9.11 
figure 9.13 
figure 9.14 
figure 9.15 
figure 9.16 
figure 9.17 
figure 9.18 
figure 9.19 
figure 9.2 
figure 9.3 
figure 9.4 
figure 9.5 
figure 9.6 
figure 9.7 
figure 9.8 
figure 9.9 
figure 10.1 
figure 10.10 
figure 10.11 
figure 10.12 
figure 10.13 
figure 10.14 
figure 10.15 
figure 10.16 
figure 10.17 
figure 10.18 
figure 10.2 
figure 10.3 
figure 10.4 
figure 10.5 
figure 10.6 
figure 10.7 
figure 10.8 
figure 10.9 
figure 11.1 
table 11.1 
figure 11.2 
figure 12.1 
figure 12.2 
figure 12.3 
figure 12.4 
figure 12.5 
figure 12.6 
figure 13.1 
figure 13.2 
figure 13.3 
figure 14.1 
figure 14.10 
figure 14.2 
figure 14.3 
figure 14.4 
figure 14.5 
figure 14.6 
figure 14.7 
figure 14.8 
figure 14.9 
figure 15.1 
figure 15.2 
figure 15.3 
figure 15.4 
figure 15.5 
figure 15.6 
figure 15.7 
figure 15.8 
figure 15.9 
figure 16.1 
figure 16.10 
figure 16.11 
figure 16.12 
figure 16.13 
figure 16.14 
figure 16.15 
figure 16.2 
figure 16.3 
figure 16.4 
figure 16.6 
figure 16.7 
figure 16.8 
figure 16.9 
figure 17.1 
figure 17.2 
figure 18.1 
figure 18.2 
figure 19.1 
figure 19.2 
figure 20.1 
figure 20.10 
figure 20.11 
figure 20.12 
figure 20.2 
figure 20.3 
figure 20.4 
figure 20.5 
figure 20.6 
figure 20.7 
figure 20.8 
figure 20.9
16,269 Citations
Deep Learning: A Primer for Radiologists.
- Medicine
- Radiographics : a review publication of the Radiological Society of North America, Inc
- 2017
Image Classification Using Deep Neural Networks: Transfer Learning and the Handling of Unknown Images
- Computer Science
- EANN
- 2019
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
- Computer Science, Engineering
- ArXiv
- 2020
Visual content-based web page categorization with deep transfer learning and metric learning
- Computer Science
- Neurocomputing
- 2019
Deep learning in the automotive industry: Applications and tools
- Computer Science
- 2016 IEEE International Conference on Big Data (Big Data)
- 2016
Decision tree learning based feature evaluation and selection for image classification
- Computer Science
- 2017 International Conference on Machine Learning and Cybernetics (ICMLC)
- 2017
References
SHOWING 1-10 OF 931 REFERENCES
An Analysis of Single-Layer Networks in Unsupervised Feature Learning
- Computer Science, Mathematics
- AISTATS
- 2011
Machine learning - a probabilistic perspective
- Computer Science
- Adaptive computation and machine learning series
- 2012
Beyond simple features: A large-scale feature search approach to unconstrained face recognition
- Computer Science
- Face and Gesture 2011
- 2011
Building high-level features using large scale unsupervised learning
- Computer Science, Mathematics
- 2013 IEEE International Conference on Acoustics, Speech and Signal Processing
- 2013