convolutional neural network造句

Convolutional neural networks ( CNNs ) consist of multiple layers of receptive fields.
Darkfmct3 synchronously couples a convolutional neural network with a Monte Carlo tree search.
Currently, the best algorithms for such tasks are based on convolutional neural networks.
Recently, the use of Convolutional Neural Networks has led to big improvements in acoustic modeling.
Recently, the single convolutional neural network best performance was 0.31 percent error rate.
It's difficult to find convolutional neural network in a sentence. 用convolutional neural network造句挺难的

Compared to other image classification algorithms, convolutional neural networks use relatively little pre-processing.
Performance of convolutional neural networks on the ImageNet tests is now close to that of humans.
Conversely, the convolutional neural network DeepDream finds and enhance patterns in images purely via algorithmic pareidolia.
Performance of convolutional neural networks, on the ImageNet tests, is now close to that of humans.
In practice, the generator is typically a deconvolutional neural network, and the discriminator is a convolutional neural network.
In July 2015 Google released DeepDream, an image recognition software capable of creating psychedelic images using a convolutional neural network.
The speech recognition systems makes use of sophisticated Machine Learning techniques like Convolutional Neural Networks and Long short-term memory.
Fukushima's Neocognitron introduced convolutional neural networks partially trained by unsupervised learning with human-directed features in the neural plane.
Because the convolutional neural network is computationally taxing, the Monte Carlo tree search focuses computation on the more likely game play trajectories.
Bit-plane formats may be used for passing images to Spiking neural networks, or low precision approximations to neural networks / convolutional neural networks.

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