Examples of using Deep learning in English and their translations into Thai
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So deep learning is this extraordinary thing.
The transcription in English was deep learning.
In fact, deep learning has done more than that.
Everything you saw there was happening with deep learning.
Each of these sentences was generated by a deep learning algorithm to describe each of those pictures.
They used an extraordinary algorithm called deep learning.
Also, deep learning has been used to read Chinese, again at about native Chinese speaker level.
Here is some text that I generated using a deep learning algorithm yesterday.
With our deep learning algorithm, it can automatically identify areas of structure in these images.
So imagine if we can help enhance their efficiency using these deep learning approaches?
Deep learning now in fact is near human performance at understanding what sentences are about and what it is saying about those things.
Complex, nuanced sentences like this one are now understandable with deep learning algorithms.
The translation to Chinese and the text in the top right, deep learning, and the construction of the voice was deep learning as well.
Tiny DeskMini GTX supports NVIDIA® GeForce GTX1080 for Gaming, AR/VR PC, and 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, it seems that he is putting his new book on deep learning through a similar process.
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.
The New York Times also showed in this article another extraordinary result of deep learning which I'm going to show you now.
These deep learning systems actually are in 16,000-dimensional space, so you can see here the computer rotating this through that space, trying to find new areas of structure.
We can now segment neurons about as accurately as humans can, but this system was developed with deep learning using people with no previous background in medicine.
Whether you want to smart deep learning based AI solution for person detection, face detection, face recognition, emotion detection, gender and age detection or custom object detection, just contact us for further discussion.
Moreover, there is also an AI-based NGX Technology, which will focus on Deep Learning Super Sample(DLSS), which is much more powerful than the older GTX models.
So we can again give the computer some hints, and we say, okay, try and find a projection that separates out the left sides and the right sides as much as possible using this deep learning algorithm.
With the state-of-the-art Thai natural language processing based-on Deep learning technology developed by iApp Technology, We developed the most accurate and the most comprehensive Thai Chatbot Engine service for you.
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 then, using deep learning, the algorithm looks for all these textures and wrinkles and shape changes on our face, and basically learns that all smiles have common characteristics, all smirks have subtly different characteristics.
For example, Google announced last year that they had mapped every single location in France in two hours, and the way they did it was that they fed street view images into a deep learning algorithm to recognize and read street numbers.
Matsuo also serves as President of the Japan Deep Learning Association, an organization aimed at improving Japan's industrial competitiveness in technologies around deep learning, and he has also served as a director of multiple companies.
The system being shown here can identify those areas more accurately, or about as accurately, as human pathologists, but was built entirely with deep learning using no medical expertise by people who have no background in the field.
In cooperation with the leading companies in the industry for deep learning algorithms for faces, the town's face recognition access control system uses dynamic and non-cooperative methods for verification, creating a precedent for unattended watchkeeping.