Filtry
On energy complexity of fully-connected layers
The massive increase in the size of deep neural networks (DNNs) is accompanied neural networks (CNNs) has been proposed and experimentally validated. Based to the computation of a fully-connected ...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2024 •
- Jimp •
- Odkaz
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
Simulating the Finite State Machines using Fully Recurrent Neural Network
In this paper fully recurrent type of neural network simulating the finite state machine is described.
IN - Informatika
- 2005 •
- D
Rok uplatnění
D - Stať ve sborníku
Analog Clipping Circuit Simulation with Recurrent Neural Networks
additional fully connected input layers. The signals processed by the neural networkThis article focuses on the practical use of recurrent neural networks the Long Short-Term Memory neural
Electrical and electronic engineering
- 2021 •
- Jost •
- Odkaz
Rok uplatnění
Jost - Ostatní články v recenzovaných periodicích
Výsledek na webu
Using a neural network to determine the weapon engagement zone
neural network used to determine the weapon engagement zone. A fully connected, feed-forward, multilayer neural network is proposed to solve the above problem, which blockset library of Matlab, w...
Aerospace engineering
- 2023 •
- D •
- Odkaz
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Application for Artificial Neural Networks Visualization in the Mathematica environment
It is a fully functional application in the Mathematica environment, which uses interactive functions lik Manipulate for creating structures of neural networks and visualizing their activities. The application allows to cho...
JD - Využití počítačů, robotika a její aplikace
- 2012 •
- R •
- Odkaz
Rok uplatnění
R - Software
Výsledek na webu
Energy Complexity of Fully-Connected Layers
The energy efficiency of processing convolutional neural networks (CNNs of fully-connected layers. We present two dataflows and compute their associated energy into two fixed parts for inputs and outputs. The optim...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2023 •
- D •
- Odkaz
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Recurrent Neural Networks Package
The Recurrent Neural Networks Package contains a set of functions implementing the fully recurrent topology-based neural networks with heterogeneous units in Wolfram Mathematica. It implements the gradient...
IN - Informatika
- 2011 •
- R •
- Odkaz
Rok uplatnění
R - Software
Výsledek na webu
Using neural network in cryptography
This paper deals with using neural network in cryptography, e.g. designing such neural network, that would be practically used in the area of cryptography both analyse in the text. Thus, it means: to design the top...
JC - Počítačový hardware a software
- 2000 •
- D
Rok uplatnění
D - Stať ve sborníku
Multi-objective Evolution for Deep Neural Network Architecture Search
consider deep architectures including convolutional and fully connected networksIn this paper, we propose a multi-objective evolutionary algorithm for automatic deep neural architecture search. The algorithm optim...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2020 •
- D •
- Odkaz
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Design of Fully Analogue Artificial Neural Network with Learning Based on Backpropagation
A fully analogue implementation of training algorithms would speed up the training of artificial neural networks. A common choice for training the feedforward networks is the backpropagation with stochastic gradien...
Electrical and electronic engineering
- 2021 •
- Jimp •
- Odkaz
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
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