Neural NetwF. Wang, H. Liu, and J. Cheng. Visualizing deep neural network by alternately image blurring and deblurring. Neural Networks, 97:162-172, January 2018.Feng Wang, Haijun Liu, Jian Cheng, "Visualizing deep neural network by alternately image blurring and deblurring", Neural Networks,...
"Visualizing Deep Neural Network Decisions: Prediction Difference Analysis" - Luisa M Zintgraf, Taco S Cohen, Tameem Adel, Max Welling which was accepted at ICLR2017, see https://openreview.net/forum?id=BJ5UeU9xx Note that we are only publishing the code for the ImageNet experiments, since...
Shazeer, N.; Mirhoseini, A.; Maziarz, K.; Davis, A.; Le, Q.; Hinton, G.; Dean, J. Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.arXiv2017, arXiv:1701.06538. [Google Scholar] [CrossRef] Koufakou, A. Deep learning for opinion mining and topic class...
DeepBoof is a Java library for running deep neural networks trained using other projects (e.g. Torch and Caffe) with a focus on processing image data. Additional tools include visualization and network training. Image processing is done usingBoofCV. While it has been designed to work withTorch...
Single-cell RNA-seq denoising using a deep count autoencoder. Nat Commun. 2019;10(1). https://doi.org/10.1038/s41467-018-07931-2. Van den Berge K, Perraudeau F, Soneson C, Love MI, Risso D, Vert JP, et al. Observation weights unlock bulk RNA-seq tools for zero inflation and ...
Nodes in deep red indicate strong citation bursts, highlighting periods where related research has been extensively cited. Image B shows a timeline map of co-cited literature clusters, with cluster numbers on the Y-axis and the years of citation publication on the X-axis. (For interpretation of...
In order to do so we revise their interpretation as deep neural networks and we propose to exploit several visualization techniques on their node activations and network outputs under different types of inference queries. To investigate these models as feature extractors, we plug some SPNs, learned...
Think about this next time your hear some VC or big-name CEO appear in the news to warn you against the existential threat posed by our recent advances in deep learning. Today we have better tools to map complex information spaces than we ever did before, which is awesome, but at the ...
Both models were created using Neuromantic and consist of a single tree-like network with a matching root node at the soma. Visualization of the data in NetMets indicates that the primary differences between the models are the low-contrast fibers in deep sections of the data set where there ...
Indeed, if you want to know the algorithm behind a PyTorch model, this is also the way to go. There are only a few tools to create graphics from a PyTorch model. In below, you will learn about the tool Netron. It is a “deep learning model viewer”. It is a software that you ca...