Examples of using A machine learning in English and their translations into Vietnamese
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If you're a machine learning engineer, it's easy to start experimenting with and fine-tuning these models by using pre-trained models and weights in either Keras/ Tensorflow or PyTorch.
The same can be achieved with a Machine Learning algorithm, which looks at data previously labeled by a  human, learns  from the decision making and can then classify incoming requests on its own.
Even if we trust a machine learning system, such as in the chess playing algorithms, there are still significant ethical
needs to anticipate and code every potential condition, a machine learning solution effectively adapts the output based upon the data.
Following this, our scientists created a machine learning system based on that data to predict how they should rule the other Swedish words.
Czech researcher Petr Plechác has developed a machine learning system that determined which portions of Henry VIII were likely written by Shakespeare's contemporary(and long-suspected collaborator) John Fletcher.
It does this by using a machine learning framework that studies over a  billion high-resolution satellite images, identifying all the visible panels positioned on rooftops and in other locations.
It is a machine learning system that helps Google understand the meaning behind queries and serve best-matching search
It's a machine learning algorithm that uses a  deep neural network to learn  the characteristics of sounds, and then create a  completely new sound based on these characteristics.
Spearman correlation measurements), SEMrush used a machine learning model called Random Forest.
At that point, researchers need to build second-generation systems where human classifications are used to train a machine learning model that can then be applied to virtually unlimited amounts of data.
technique to automatically tune its software, which was based on a machine learning technique less complex than a  neural network.
While a  variety of permutations are discussed in the patent, at its core it comes down to training a machine learning system to generate a  likely value for a  ranking signal when there isn't one.
Manuel, currently a machine learning researcher with Google, was the lead author on a  paper
Quantum Processor Flex is a machine learning based picture quality engine that analyses millions of image data to automatically calibrate the original low resolution image according to the display.
In a machine learning system the computer writes its own code to perform a  task, usually by being trained on a  large data base of such tasks.
the continued development of its Mintegral, Mobvista put into operation MindAlpha, a machine learning platform designed to intelligently manage
The way it works is that a  customer builds a machine learning model using Watson, taking advantage of data in an  enterprise repository to train the model.
superimpose existing images and videos onto source images or videos using a machine learning technique known as generative adversarial network.