The basic building blocks of the architecture are multilayer perceptions (MP) with the backpropagation (BP) algorithm. This modular network is designed to combine two different approaches of generalization known from connectionist and logical neural networks; this enhances the generalization abilities of ...
Fixing entire architecture of CO-SENN, we only replace the custom activation function at the last layer of encoder with ReLU (CO-SENN-ReLU), ELU(CO-SENN-ELU) and no activation function (CO-SENN-NULL). The accuracies on the FashionMNIST dataset are \(90.8\%\), \(88.98\%\), \(...
The resulting neural network architecture has a high packing density and is well suited for very large-scale integration (VLSI). Simulation results illustrate the performance of the basic elements of a random-pulse neuron 展开 关键词: Practical, Theoretical or Mathematical/ computational complexity ...
On Neural Network Architecture Based on Concept Lattices Selecting an appropriate network architecture is a crucial problem when looking for a solution based on a neural network. If the number of neurons in netwo... SO Kuznetsov,N Makhazhanov,M Ushakov - Springer, Cham 被引量: 1发表: 2017...
Although Convolutional Neural Networks (CNN) outperform the classical models in a wide range of Machine Vision applications, their restricted interpretabil
The laminar pattern of connections between prefrontal and anterior temporal cortices in the... D Pandya,PB Cipolloni,B Seltzer,... 被引量: 22发表: 2015年 The Large-Scale Organization of Object-Responsive Cortex Is Reflected in Resting-State Network Architecture (2016). The Large-Scale ...
Layer-wise Relevance Propagation (LRP)15is a popular method for explaining the predictions of a neural network by attributing relevance values to individual input dimensions (for example, pixels of images). In this process, relevance is propagated backwards through the network, starting from the outp...
These components can be used to build a high-level architecture which can be used to improve the quality of the system. Chen, Zhang, Li, Kang, and Yang (2009) reengineer existing legacy code to service-oriented software by identifying service candidates using RCA. Azmeh et al. (2011) use...
Group of kids doing a test, scientific task or project in a physics class together 00:06 Happy asian boy running and playing with toy planes against the wind 00:25 Technology can help for doing better work education-design studio practicing, school of architecture and design 00:15 Teaching ...
Table E.1: Fully connected neural network architecture used as a black-box classifier in the experiments on the synthetic tabular data. nn stands for torch.nn; F stands for torch.nn.functional; input_dim corresponds to the number of input features. ...