Examples of using Deep learning algorithms in English and their translations into French
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Deep Learning Algorithms.
Goal: develop Deep Learning algorithms which.
Deep learning algorithms can put this data to use effectively.
When you're implementing deep learning algorithms.
These deep learning algorithms review data and arrive at conclusions.
Various efforts are made to improve deep learning algorithms.
Deep learning algorithms can more easily determine what is said.
DeepMind, now owned by Google,uses deep learning algorithms.
When using deep learning algorithms, they are often run on GPUs.
All of them use artificial intelligence and deep learning algorithms.
Deep learning algorithms are designed to learn quickly.
Also we had the idea to exploit their Deep Learning algorithms in reverse, to create images.
Deep learning algorithms can determine on their own if a prediction is accurate or not.
The annotations collected on the platform will be used to train deep learning algorithms.
For more complicated deep learning algorithms, this may not always be possible.
In this work,we propose the intent prediction system based on deep learning algorithms.
The Deep Learning algorithms learn with predefined pairs of inputs and outputs.
The robotic system is slated to use deep learning algorithms to carry out the weeding task.
Deep learning algorithms are actually Deep architectures of consecutive layers.
Imeka offers specific expertise that's based on image segmentation using deep learning algorithms.