Examples of 'convolutional neural network' in a sentence
Meaning of "convolutional neural network"
Convolutional neural network: A type of deep learning algorithm commonly used for image and video recognition tasks. It involves processing data based on its surrounding context
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- A neural network in which the connectivity pattern between its neurons is modelled on the organization of the animal visual cortex.
How to use "convolutional neural network" in a sentence
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convolutional neural network
A convolutional neural network is also known as a ConvNet.
The architecture of the convolutional neural network used.
The convolutional neural network will be further described.
The image encoder is a deep convolutional neural network.
Convolutional neural network The design of convolutional neural networks follows visual mechanisms in living organisms.
The limits of facial recognition with a convolutional neural network.
The last method is a deep convolutional neural network that replaces the screened Poisson reconstruction.
The voxel maps are vectorized and sequentially fed into a convolutional neural network.
A multi-representational convolutional neural network architecture for text classification.
The test objects are typically not classified prior to application of the convolutional neural network.
A typical convolutional neural network consists of some combination of the following layers,.
WaveNet is a type of feedforward neural network known as a deep convolutional neural network CNN.
In some embodiments, the convolutional neural network has one or more activation layers.
The software being used is called DroNet, and it 's a convolutional neural network.
At its core, the engine is a deep convolutional neural network with millions of learnable parameters.
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Example, improving the performance of a radar system through automatic aerial reconnaissance via a convolutional neural network.
The generator is typically a deconvolutional neural network, and the discriminator is a convolutional neural network.
First, we propose to couple a Gaussian mixture of linear inverse regressions with a convolutional neural network.
It 's a convolutional neural network that started by absorbing replays of pro StarCraft II matches.
In addition, a new health estimation system using a convolutional neural network is introduced.
The first is a deep convolutional neural network ( CNN ) method for the detection of building borders.
The first type of neural network impacting the healthcare industry is a Convolutional Neural Network ( CNN ).
This is done by using a pair of Convolutional Neural Network ( CNN ) based recognition modules.
Convolutional Neural Network ( CNN ), It 's a type of neural networks used to identify and analyze images.
In this thesis, we introduce a Twin Spatio-Temporal Convolutional Neural Network.
The BCI uses a convolutional neural network (CNN) for feature extraction and classification.
Figure 1 illustrates a computer system 100 that applies the above-described convolutional neural network to spatial data.
Recently in object detection, convolutional neural network (CNN) based methods have been popular.
Figure 1, Schematic of a convolutional layer in a convolutional neural network.
Convolutional Neural Network ( CNN ) - used primarily for image processing.
A subtype of a neural network called a convolutional neural network (CNN) is well-suited for image-related tasks.
Enter the Convolutional Neural Network ( CNN ), an artificial intelligence designed to analyze imagery.
We compute 3-dimensional model parameters in a Convolutional Neural Network for 3D human pose estimation.
Recently, the single convolutional neural network best performance was 0.31 percent error rate.
Online sources, I learned to build a convolutional neural network (CNN) using Caffe in just a.
In the 2-D approach, the Convolutional Neural Network ( CNN ) has been exploited and evaluated.
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Examples of using Convolutional
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In the exemplary embodiment convolutional encoding is utilized
Convolutional noise is typically constant or slowly varying
Kalray is an accelerator for convolutional neural nets
