Examples of using Deep neural in English and their translations into Indonesian
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optimization algorithms needed to implement deep neural networks.
then deep neural network is not a universal approximator.
biosensors as well as deep neural networks and transfer learning.
technology using deep neural networks[4][5].
Tishby began contemplating the information bottleneck around the time that other researchers were first mulling over deep neural networks, though neither concept had been named yet.
most complex AI challenges, including complex deep neural networks that were previously untrainable.
DeepMind's AlphaGo program stunned the Go-playing world by beating 18-time world champion Lee Se-dol thanks to its advanced system based on deep neural networks and machine learning.
Facebook has trained a deep neural network driving a computer vision system to recognize object in images.
The researchers developed a custom AI algorithm for the the Cardiogram app to train a deep neural network, so that it can reliably identify abnormal heart rhythms.
robot utilizes a deep neural network to learn new tasks through a process of trial and error.
is called"stimulated Raman histology"(SRH), which works in conjunction with an artificially intelligent deep neural network.
AI is capable of achieving incredible accuracy via deep neural networks, which is something that was previously impossible.
Engineers then trained a deep neural network to identify these abnormal heart rhythms from Apple Watch heart rate data.
Deep Neural Networks for Acoustic Modeling in Speech Recognition- The shared views of four research groups.
The team showed that algorithms based on deep neural networks- algorithms that have revolutionized AI- can be applied to the world of quantum physics.
Tishby argues that deep neural networks learn according to a procedure called the“information bottleneck,” which he
Her‘thought', runs on MindCloud, a deep neural network and cloud-based AI software
I like to think of the architecture of a deep neural network as a template for a function.
such as deep neural networks, but you will gain a profound understanding of why they work.-.
learn how to build a deep neural network that can recognize objects in photographs.