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The deep learning of image recognition can be achieved by applying Caffe in Windows environment.
The company applies deep learning of natural language and images to solve a range of business problems.
Seminars in the collaborative space fostered deep learning of the theory, and enabled students to apply the prepared theory in case studies and solve problems.
Using fast Rcnn Caffe, the deep learning of numerous tower images of transmission line is trained, and the image features of the transmission tower is extracted.
In fact, it has been proposed that impasses that trigger states of cognitive disequilibrium and confusion can create opportunities for deep learning of conceptually difficult content.
In the implementation, as the highest accuracy and open-source codes, we choose Deep Learning of Binary Hash (DLBH) [68] and Supervised Semantics-Preserving Deep Hashing (SSDH) [23] as our deep learning hashing methods.
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But if that's the price to pay for moving deep learning out of the research centres in the biggest internet companies, it could be worth it.
Most of the existing methods leverage the power of deep learning to produce a representation of text.
Helping students make connections between the subject matter they are learning and personal experiences or "real-world" examples can result in deeper learning of many subject domains (e.g., National Research Council 2009).
Although none of the students had taken a college-level course in molecular biology or biochemistry, the learner-centered basis of their inquiry may have inspired deeper learning of how environmental stimuli can influence phenotype at the molecular/biochemical level.
"We are investigating the use of deep learning to improve the accuracy of diagnosis in cancer.
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