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What is a computer network? The term gets a lot of traction, but how do we define it? This article is your one-stop source of information relating to computer networks. Click here to know more.
2.2Generative adversarial network (GAN) and Vision Transformers (ViT) A generative adversarial network (GAN) is a special type of neural network used forunsupervised learning. GAN is an approach to generative modeling that can learn to mimic a given distribution of data. These models effectively re...
But how does Computer Network Defense fit into the category of defensive actions? To answer this question, one must understand what is being defended. This chapter explains what type of information should be protected from cyber attacks and highlights the key principles of security—namely, the ...
Learning rate is a hyper-parameter that controls how much we are adjusting the weights of our network with respect the loss gradient. [src] Momentum lets the optimization algorithm remembers its last step, and adds some proportion of it to the current step. This way, even if the algorithm ...
Cy-CNN: cylinder convolution based rotation-invariant neural network for point cloud registration Zhao, Hengwang; Liang, Zhidong; He, Yuesheng; Wang, Chunxiang; Yang, Ming Sci China Inf Sci, 2023, 66(5): 152102Keywords: deep learning; point cloud registration; rotation invariant; computer vision...
Servers are the modern form of what were once much larger computers, and are usually accessed only via a network. Servers are oriented to carrying sizable workloads, which may consist of either single complex applications一usually a scientific or engineering application—or handling many small jobs,...
My objective is to create an intuitive computer for laypeople who want to go beyond ready-made apps and create programs to control their electronic environ
Typical deep learning-based computer vision tasks can be summarized as follows: given an image XX, the goal is to build a network to predict its label YY correctly [21]. A statistical model fitted with a suitable objective function is often used to estimate the conditional probability distributi...
Wei, L., et al.: A single-shot multi-level feature reused neural network for object detection. Vis. Comput. (2020). https://doi.org/10.1007/s00371-019-01787-3 Article Google Scholar Hascoet, T., et al.: Semantic embeddings of generic objects for zero-shot learning. J. Image Video...