With the emergence of a large amount of malicious code data, the efficiency of traditional machine learning algorithms is getting worse and worse. In this paper, a workflow based on deep learning is ...

Although deep learning (DL ... 4.3. To incorporate our DL models into the neuroscientists' workflow, we implemented a GUI application that integrates the best networks and the postprocessing ...

In most discussions, deep learning means using deep neural networks. There are, however, a few algorithms that implement deep learning using other kinds of hidden layers besides neural networks.

However, most of algorithms assume that cloud resources ... which is formulated as a Markov Decision Process. And, a dynamic workflow scheduling approach based on deep reinforcement learning (RLWS) is ...

What other ML areas can replace deep learning in the future? originally appeared on Quora - the place to gain and share knowledge, empowering people to learn from others and better understand the ...

However, recent advances in deep learning have enabled the possibility of automating these analyses. Subscribe for FREE ...

Right: volume-rendered 3D reconstruction image. The aneurysm was missed in the initial report but successfully detected with the deep-learning algorithm. (Courtesy: Radiological Society of North ...

However, recent advances in deep learning have enabled the possibility of automating these analyses. Subscribe for FREE ...