Examples of using Deep learning in English and their translations into Arabic
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The Indaba Deep Learning Conference.
But Todai Robot chose number two,even after learning 15 billion English sentences using deep learning technologies.
So deep learning is this extraordinary thing.
Scientists See Promise In Deep Learning Programs.
How Deep Learning is Shifting Digital Economies.
Well, we have a new oracle, and it's name is big data,or we call it"Watson" or"deep learning" or"neural net.".
Machine Learning/ Deep Learning Software Engineering.
Deep learning now in fact is near human performance at understanding what sentences are about and what it is saying about those things.
I have beeen taking deep learning course on coursera.
About 10 years ago, the grand AI discovery was made by three North American scientists,and it's known as deep learning.
With our deep learning algorithm, it can automatically identify areas of structure in these images.
The translation to Chinese and the text in the top right, deep learning, and the construction of the voice was deep learning as well.
It features deep learning face recognition technology, which ensures accurate and quick face recognition.
Prior to that, the book by Jena Godfellow(American machine learning specialist,works in Google Brain-"High Tech") on deep learning.
As I say, using deep learning is about the best system in the world for this, even compared to native human understanding.
And using those two pieces of information,I can train a standard deep neural network or a deep learning network to provide patient's diagnosis.
Deep learning is a technology that can take a huge amount of data within one single domain and learn to predict or decide at superhuman accuracy.
As of today, we use two different learning methods: deep learning neural networks and prediction trees along with a series of classic and proprietary analytical methods.
TAMAKKUN is a company established in 2015 by two passionate Saudi women with the intention of empowering women in the region andencouraging self-awareness and deep learning.
Deep learning is an algorithm inspired by how the human brain works, and as a result it's an algorithm which has no theoretical limitations on what it can do.
It's very hard for us to estimate this, because human performance grows at this gradual rate,but we now have a system, deep learning, that we know actually grows in capability exponentially.
And we use deep learning to create a real-time speaker identification system to help raise awareness on the use of the shared vocal space-- so who talks and who never talks during meetings-- to increase group intelligence.
We have been brainwashed by cultural myth that"learning occurs in our heads", and until we challenge that belief,our capacity for any sort of deep learning becomes severely limited.
WD Purple 8TB, 10TB,12TB & 14TB drives are designed to support Deep Learning analytics in AI capable NVRs, and feature an enhanced workload rating of up to 360TB/yr.
So we can again give the computer some hints, and we say, okay, try and find a projection that separates out the left sides andthe right sides as much as possible using this deep learning algorithm.
These solutions provide advanced video content analysis,providing SMEs the advantages of technology deep learning and a cost-effective option to protect its facilities and assets. Designed.
Deep learning and random forest approaches have also been used to interpret the results of these high-dimensional experiments.[25] These models are beginning to help develop a better understanding of non-coding DNA function towards gene-regulation.
In that context, researchers at Standford University have created an AI algorithm thatcan identify skin cancer by training their deep learning algorithm with 130K images of moles, rashes, and lesions.
The team used state-of-the-art methods in deep learning to extract features from satellite images and meta data from social media platforms to analyze the data and to evaluate their relative strengths and weaknesses for mapping poverty.
For example, Google announced last year that they had mapped every single location in France in two hours, and the way they did itwas that they fed street view images into a deep learning algorithm to recognize and read street numbers.