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For example, the University of Cambridge's Trait Prediction Engine is based on deep learning and has a web-based application programming interface (API).
Good history, on the other hand, is based on deep learning.
In the near future, systems based on deep learning will help diagnose diseases and recommend treatments.
In this paper, we present a crosswalk classification system based on deep learning.
In this paper, we design the intelligent traffic information recommendation system based on deep learning.
This paper proposes a novel deep distance metric learning method for rolling bearing fault diagnosis based on deep learning.
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A team at Princeton designed an automated driving system based largely on deep learning.
In this paper, a deep learning approach based on deep belief networks (DBN) is developed to learn features from frequency distribution of vibration signals with the purpose of characterizing working status of induction motors.
The combination of big data and big compute has helped to propel forward in modern machine learning approaches based on deep neural networks, also known as deep learning.
Specifically, we show that unsupervised learning based on deep autoencoders can be directly trained on data and used for model-independent searches for new physics - reducing experimental systematic uncertainties and reliance on specific theories at the same time.
To cope with this need, in this paper we propose Appearance and Motion DeepNet (AMDN), a novel approach based on deep neural networks to automatically learn feature representations.
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based on deep sequencing
based on social learning
based on deep gratitude
based on observational learning
based on probabilistic learning
based on statistical learning
based on deep harmony
based on deep spiking
based on incremental learning
based on deep research
based on adaptive learning
based on specific learning
based on deep belief
based on deep suspicion
based on different learning
based on deep policy
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