Examples of using A deep learning in English and their translations into Vietnamese
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France in two hours, and the way they did it was that they fed street view images into a deep learning algorithm to recognize
The research team used brain training tools to“train” a deep learning network, and then show what the data was being monitored and decoded volunteers.
Some of the key features of the company are how it offers pre-trade notifications and post-trade education by using a deep learning artificial neural network intelligence.
I have decided to build a Neural Network from scratch without a deep learning library like TensorFlow.
by the military and Google out of Rice University, uses a deep learning tool that basically works like a search engine for coding.
rescue drones in Australia, launched SharkSpotter, a deep learning computer program developed with the University of Technology Sydney that scans the ocean for sharks from the air.
The Dual-Lens People-Counting Camera, equipped with two cameras and powered by a Deep Learning algorithm, easily overcomes such interferences to deliver highly accurate people-counting data.
rescue drones in Australia, launched SharkSpotter, a deep learning computer program that scans the ocean for sharks from the air.
However, the screenshots will remain for the memory of crypto-verse as a fun episode in the history of cryptos and a notable example of how important it is for companies to debug a deep learning algorithm.
The implications can be unimportant in some cases, but imagine a deep learning model that decides who to put into prison-accurate, but unable to explain its reasoning.
A deep learning algorithm trained on images of your face would allow facial recognition software to recognize you no matter what you look like on a given day.
A Deep Learning test platform, proof of concept(POC) or Minimum Viable Product(MVP) is fairly easy to build
Cognitiv AI is an example of a deep learning platform that synthesizes data on customer demographics, weather, available inventory, time of day,
Google out of Rice University, uses a deep learning tool that basically works like a search engine for coding.
For an AI application to be able to process such a vast amount of information and use it effectively within a Deep Learning model, it requires some very efficient processing power.
That is solved, but we are really close to solving a deep learning based rotoscoping solution that will be just as good as someone can do,” he explains.
First, they trained their computer program- a deep learning algorithm loosely modeled on how neurons work in the brain- on 95 different species of bacteria from 90% of the samples, along with the ages of the people they had come from.
In 2012, Google announced that they had a deep learning algorithm watch YouTube videos and crunched the data on 16,000 computers for a month,
based on mass data processing and a deep learning algorithm, will process data from a number of sources including blockchain,
Building on their previous work, Jalali and his colleagues developed a deep learning pipeline which solves that problem by operating directly on the laser signals that are part of the imaging flow cytometry process, which eliminates the time-intensive processing steps of other techniques.