Examples of using Deep learning algorithms in English and their translations into Chinese
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Advanced Deep learning algorithms predict which objects close to vehicles are likely to do.
Advanced Deep Learning algorithms can accurately predict what objects in the vehicle's vicinity are likely to do.
Deep learning algorithms of AI analyses samples in an automated and standardized way.
However, current deep learning algorithms have been criticized as uninterpretable"black-boxes" which cannot explain their decision making processes.
It relies on deep learning algorithms that include the training of multi-layered virtual networks of neurons to recognize patterns for huge data.
This is because deep learning algorithms need a large amount of data to understand it perfectly.
Current deep learning algorithms and neural networks are far from their theoretically possible performance.
Christian Szegedy, Senior Research Scientist at Google: Current deep learning algorithms and neural networks are far from their theoretically possible performance.
Deep learning algorithms are based on neural networks which, like the human brain, create deeper and deeper abstractions of visual input.
Ng's deep learning algorithms aren't yet as accurate- or as versatile- as the human brain.
However, we can use current deep learning algorithms, along with synthesized training data, to start exploring artificial front-end automation right now.
Deep learning algorithms for image processing require two things: first, an appropriate convolutional neural network architecture with hundreds of thousands of parameters;
These sensors can detect nearby objects and other cars using deep learning algorithms for better protection of the driver and passengers.
The company's cameras are equipped with basic video analytics, and they are tied into a cloud infrastructure that provides additional deep learning algorithms.
We live in a world where, for better and for worse, we are constantly surrounded by deep learning algorithms.
DDL can be used to accelerate deep learning algorithms over clusters of servers and hundreds of GPUs.
Tenenbaum and his colleagues employed deep learning algorithms modeled on a virtual network of neurons.
Cameras can be equipped with basic video analytics, and they are tied into a cloud infrastructure that provides additional deep learning algorithms.
In the case of LUXSENS, a Shanghai-based company, deep learning algorithms are already being used to find the best price for luxury bags.
Tenenbaum and his colleagues employed deep learning algorithms modeled on a virtual network of neurons.