Examples of 'deep neural network' in a sentence
Meaning of "deep neural network"
deep neural network: This phrase pertains to a type of artificial neural network, often used in the field of machine learning and artificial intelligence, which consists of multiple layers of interconnected nodes or units
How to use "deep neural network" in a sentence
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deep neural network
Machine learning and deep neural network algorithms.
Deep neural network architectures.
Maintaining a deep neural network.
So deep neural network with multiple hidden layers might be able to have the earlier.
Improving a deep neural network.
That you will be able to implement your own deep neural network.
An example of deep neural network is a person recognition model based on a picture.
Defense against wireless attacks using a deep neural network and game theory.
A layer of a deep neural network in which a convolutional filter passes along an input matrix.
The team reached such specific conclusions with the help of a deep neural network.
We propose methods to train deep neural network in this distibuted system context.
You have actually seen most of the ideas you need to implement a deep neural network.
Modify the deep neural network classifier to implement a wide and deep model.
Also known as deep neural learning, or deep neural network.
The system uses deep neural network to look for transparent patterns in dark images.
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It 's absolutely not much for maintaining our level of deep neural network computing server.
Training a deep neural network for NSFW classification.
If you elect to have many hidden layers, boom, you have yourself a deep neural network.
The most simple and basic example of a deep neural network is a feedforward neural network.
A Deep Neural Network to identify foreshocks in real time.
Currently, the most successful deep neural network architecture is the so-called CNN.
Our deep neural network consisted of 33 convolutional layers followed by a linear output layer into a softmax.
FIG . 4 is a flow diagram that illustrates an example process for training a deep neural network.
Train a deep neural network to recognize handwritten digits by,.
To do so, I have developed a new deep neural network architecture.
It 's a deep neural network that learns and can synthesize human speech.
Turing Tensor Cores to perform lightning-fast deep neural network processing.
Finally, we propose a deep neural network for the problem of establishing semantic correspondence.
To control self-driving car via modelling of Deep Neural Network.
Myriad 2 will provide deep neural network processing to bring better accuracy in video analytics.
FIG . 4 is a diagram showing an example process 400 for training a deep neural network.
New system employs a deep neural network to overcome the challenge of ground-effect turbulenc.
Face detection, here 's what a deep neural network could be doing.
A deep neural network for a real problem might have upwards of 10 hidden layers.
DeepFace uses a nine-layer deep neural network that draws from 120 million parameters.
The deep neural network accurately diagnosed 95 percent of malignant melanomas and 82.5 percent of benign moles.
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Now the neural circuits will connect
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Examples of using Deep
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Should take a deep breath and hold it
A deep level of understanding is not necessarily required
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