在 英语 中使用 A deep neural network 的示例及其翻译为 中文
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Researchers used 37,236 head CT scans to train a deep neural network to identify whether an image contained critical or non-critical findings.
Built on a deep neural network, Tesla Vision deconstructs the car's environment at greater levels of reliability than those achievable with classical vision processing techniques.
A deep neural network might have 10 to 20 hidden layers, whereas a typical neural network may have only a few.
Here, we build a deep neural network to predict structure formation of the Universe.
The researchers design and train a deep neural network to perform this task using millions of natural Internet/YouTube videos of people speaking.
You can't just peek inside a deep neural network to figure out how it works.
(A deep neural network trained to recognize dogs in photos might be tested on new photos that may or may not include dogs, for instance.).
Oermann and colleagues used 37,236 head CT scans to train a deep neural network to identify if an image contained critical findings.
In the past, building a computer cluster to train a deep neural network would have required access to capital or a university research facility.
AlphaGo worked by training a deep neural network to predict the value of board positions, using millions of past games as training data.
The stroke of wit in Q-learning is to use a deep neural network to approximate a so-called Q-function.
Utilizing 37,236 head CT scans, researchers trained a deep neural network to identify if an image consisted of critical or non-critical findings.
This week, you will build a deep neural network, with as many layers as you want!
If you elect to have many hidden layers, boom, you have yourself a deep neural network.
In the new study, a deep neural network that was trained for simple visual object detection spontaneously developed this kind of number sense.
More specifically, researchers trained a deep neural network for simple visual object detection, which is not uncommon in this field of research.
Figure 2: The area surrounding a given location is rasterized and passed to a deep neural network.
It turns out that surfacing gaming insights requires training a deep neural network on a lot of gaming data.
Word2vec also contains preprocessing model which is not a deep neural network.