在 英语 中使用 The neural network 的示例及其翻译为 中文
{-}
-
Political
-
Ecclesiastic
-
Programming
By using this prior knowledge from law of physics, we can design a constraint function to force the Neural Network to converge to it.
In 2016, Microsoft's voice recognition system reached the human level, the same year Google released support for 8 languages of the neural network translation system.
In most cases, adversarial examples can be fixed by providing more training data and allowing the neural network to readjust its inner parameters.
At first, the neural network guiding this search is fairly stupid: it makes its predictions more or less at random.
They used 9,900 samples to train the neural network and 100 to validate it.
If the neural network is too simple regarding the data it is trained on, the neural network can underfit the data.
The neural network will train but all the neurons will end up recognizing the same thing.
The neural network taught itself to recognize cats, which is actually no frivolous activity.
For the final Fully-Connected layer, we added the neural network with two layers, for which we used Dense class.
Complexity in this approach is measured by the size of the neural network weights.
We are going to train the neural network such that it can predict the correct output value when provided with a new set of data.
If an application has concerns in this area, then it may make sense to bring the neural network from the cloud to the edge.
Replacing the SVM with a softmax layer, thus extending the neural network for predictions instead of creating a new model.
The neural network developed by Krizhevsky, Sutskever, and Hinton in 2012 was the coming out party for CNNs in the computer vision community.
Then, they turned the neural network loose on the data, leaving it to slowly identify patterns.
Scientists used the neural network and trained it to perform two auditory tasks, one involving speech and the other involving music.
For any object only a limited number of contexts will occur in the dataset and so the neural network will be biased towards them.
In this paper, we systematically investigate the neural network accelerator based on FPGA.
Inference refers not to training neural networks but to using the neural network after it's been trained.