Examples of 'deep neural' in a sentence
Meaning of "deep neural"
deep neural - Relating to advanced artificial intelligence systems that mimic the human brain's neural networks
How to use "deep neural" in a sentence
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deep neural
Deep neural networks are a truly disruptive technology.
Sentiment analysis based on deep neural networks.
Deep neural networks operate in two stages.
Problems with deep neural networks.
The deep neural networks come into action.
Machine learning and deep neural network algorithms.
Deep neural machine translation is an extension of neural machine translation.
Differences between deep neural networks and human.
Deep neural network architectures.
Brief discussion of deep neural networks.
An example of deep neural network is a person recognition model based on a picture.
The structure and training of deep neural networks.
Also known as deep neural learning or deep neural networks.
Achieves incredible accuracy through deep neural networks.
Facebook uses deep neural networks to decide which ads to show to users.
See also
Artificial vision system powered by deep neural networks.
Deep neural networks are learning to make art and the results are impressive.
You will be deploying various deep neural networks in no time.
A layer of a deep neural network in which a convolutional filter passes along an input matrix.
The most common technical solution is based on deep neural networks.
Improving a deep neural network.
The processors are aimed at the specific needs of training deep neural networks.
Maintaining a deep neural network.
This article is a continuation of the series of articles about deep neural networks.
We propose methods to train deep neural network in this distibuted system context.
In recent years it has become possible to train very deep neural networks.
Modify the deep neural network classifier to implement a wide and deep model.
This is where computer vision and deep neural networks come in.
Deep neural networks use sophisticated mathematical modeling to process data in complex ways.
Let us now go through the notation we used to describe deep neural networks.
The ability to rapidly train deep neural networks on vast amounts of data is critical.
Some people like to make an analogy between deep neural networks and.
Deep neural networks perform the feature selection implicitly during the training process.
The field of unsupervised learning using deep neural networks is still young.
The system uses deep neural network to look for transparent patterns in dark images.
That you will be able to implement your own deep neural network.
So deep neural network with multiple hidden layers might be able to have the earlier.
We have all been hearing that deep neural networks work really well for.
And it happened to work very well for these incredibly deep neural networks.
They are sometimes used in combination with deep neural networks to offer a good initial approximation.
The team reached such specific conclusions with the help of a deep neural network.
The most simple and basic example of a deep neural network is a feedforward neural network.
You have actually seen most of the ideas you need to implement a deep neural network.
This is the time when we can use deep neural networks to our advantage.
Rectified linear units find applications in computer vision and speech recognition using deep neural nets.
Defense against wireless attacks using a deep neural network and game theory.
Deep neural networks are remaking the Internet.
Cetri is planning to use random forests and deep neural networks as model architectures.
Residual learning reformulates the learning procedure and redirects the information flow in deep neural networks.
Training a deep neural network for NSFW classification.
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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
You are really deep into the woods
