Sentences with phrase «using deep neural networks»

In the case of Smart Reply, Google engineers have built the feature using deep neural networks, which are also the basis of improvements in Google's voice search and the thumbnails on YouTube.

The tree search in AlphaGo evaluated positions and selected moves using deep neural networks.

«We were able to develop this system once we made the breakthrough in using deep neural network models to separate speech.»

In this project we used deep neural networks (a term we will use to refer to the class of neural networks that includes multi-layer perceptrons and recurrent neural networks) to predict how a stock will perform relative to the market over a one - year time horizon.

Instead of using standard versions of facial recognition technology from the 1990s up to 2000, Harvey used deep neural networks that in controlled test environments have a 99 percent accuracy rate, though in «Hansel & Gretel» that rate falls far lower.

ROSS uses deep neural networks to do these very things.

Not exact matches

It uses various artificial intelligence and NLP techniques (including deep learning, neural networks, and semi-supervised named entity recognition) to provide a suite of tools to suggest the right content to post (from other people's tweets to share to articles or videos from news outlets) that will win over your followers.

Deep Text uses neural networks, a subset of AI and deep learning intended to mimic activity of the human brain, to understand written language so that it can then act accordinDeep Text uses neural networks, a subset of AI and deep learning intended to mimic activity of the human brain, to understand written language so that it can then act accordindeep learning intended to mimic activity of the human brain, to understand written language so that it can then act accordingly.

Companies trawl the web to gather billions of images and use them to train an algorithm inspired by neurons in the brain, called a deep neural network.

Mike Preuss, an information systems specialist and co-author of the study, summarizes it as follows, in a somewhat simplified way: «The deep neural networks are used for predicting which reactions are possible with a certain molecule.

They use a special type of neural network called a «deep neural network» to do the processing — so named because its learning is performed through a deep layered structure inspired by the human brain.

Deep neural networks and deeply learning are already finding use in fields such as pattern recognition, automated translation, medical diagnostics, and smartphone assistance.

Their technique demonstrates some of the advances possible through deep learning — a form of machine learning that uses artificial neural networks to mimic the way the brain makes connections between pieces of information.

Using sensory illusions as indicators of human perception, deep neural networks are expected to contribute significantly to the development of brain research.»

Now Eirikur Agustsson at ETH Zurich in Switzerland and his colleagues have created a deep neural network that uses less memory to compress images than other algorithms.

His first therapeutic effort will use deep brain stimulation in the ancient neural networks he has charted to counteract depression.

The researchers used a type of machine - learning, known as a deep neural network, to analyze the data.

To solve the knowledge problem, they used what are called deep neural networks — in this case two 13 - layer - deep networks that consist of millions of connections, akin to neural connections in the human brain.

The researchers, who published their work in Cell today (April 12), designed their a neural network, a program modeled after the brain, using an approach called deep learning, which uses data to recognize patterns, form rules, and apply those rules to new information.

This group, which included 347 people with known AF, used the Apple Watch and an app developed by Cardiogram, Inc., to provide more than 139 million measurements of heart rates and step counts in workout mode to train the app's deep neural network.

Using fluorescent labels with unlabeled images to train a deep neural network to bring out image detail.

«Deep convolutional neural networks (DCNNs) use a network architecture similar to standard convolutional neural networks, but consist of a larger number of layers, which enables them to model more complicated functions.

«Our research shows that deep - learning techniques, which use neural networks and have revolutionized the field of artificial intelligence, are effective at reducing data while capturing its hidden patterns.»

Using deep learning feature from built - in neural - network processing unit, the phone can understand you.

Remedy Entertainment has partnered up with NVIDIA to streamline production - level facial performance capture using deep convolutional neural networks.

Deep learning is a type of machine learning that uses neural networks.

When deep learning is used on very large data sets the neural networks become very smart and results are very accurate.

In this post, we'll teach a neural network how to code a basic HTML and CSS website based on a picture of a design mockup using deep - learning platform FloydHub.

Marvin Minsky questioned the many algorithms used by AI researchers, like deep neural networks to mimic strong AI — which he felt are too opaque and can be easily fooled.

The «Deep Neural Networks» used in the system will identify specific objects in...

«We developed that system using a deep convolutional neural network approach that others, including Google and Pinterest, have used to develop similar applications.

The songs were generated using a collection of audio samples and a deep recurrent neural network.

The new version uses a type of artificial intelligence called deep learning, specifically Long Short - Term Memory Recurrent Neural Networks, Google research scientist Françoise Beaufays explained in a blog post today.

There probably hasn't been a time that you've consciously been thankful for deep neural networks and machine learning, but that's what Amazon is using to ensure that Alexa doesn't respond to the «Alexa» keyword when you don't want it to.

By using high - performance FPGAs, the Project Brainwave team was able to serve Deep Neural Networks (DNNs) as hardware microservices, which reduced latency by removing the need of processing of incoming requests by the CPU, and allowed very high throughput, because the FPGA could process requests as fast as the network could stream them.

The oven uses the latest deep learning and neural network technology to learn your preferences over time.

While it's not perfect, Microsoft says the offline mode offers «near online quality» right now by using its first Deep Neural Network - powered engine.

They use Convolutional Neural Networks (CNNs) and Deep Learning for classifying and interpreting an image.