Examples of using A neural network in English and their translations into Chinese
{-}
- 
                        Political
                    
 - 
                        Ecclesiastic
                    
 - 
                        Programming
                    
 
The machine learning models ranged from 0.745 to 0.764, with the best score coming from a  type of machine learning model called a neural network.
Why train a neural network to learn about the data in a  database, when you can train a neural network to interact with the real-world?
Before we get into backpropagation, we must first take a  step back and talk about what a neural network needs in order to work.
You have studied the 30 different nuclei correlated with eye movements, and you developed a neural network model for them.
The researchers plan to further optimize the system and want to use it to implement a  practical application of a neural network task.
A neural network is a  computational model(a way to describe a  system using mathematical language and mathematical concepts).
After training a neural network in the data center, the company runs this algorithm on chips installed on the car.
They built a neural network using thousands of images rendered in Iray, and this learned data can now be applied to other ray traced images.
The researchers instead trained a neural network that relies on linear calculations, which scale far more efficiently with the data.
Also, a neural network that is trained to spot and resist spoofing defends against attempts to unlock your phone with photos or masks.
While not really a neural network, they do resemble neural networks  and form the theoretical basis for BMs and HNs.
Intel is calling the upcoming chip a neural network processor(or NNP), formerly codenamed Lake Crest.
To build a neural network-- the primary architecture of AI software-- also requires many processes to take place simultaneously.
A neural network trained on enough labeled data will be able to detect and highlight a  wide range of objects with impressive accuracy.
This implies, a neural network that performs regression contains single output node and this node will multiply the sum of activations of previous layer by 1.
To build AlphaFold, DeepMind trained a neural network on thousands of known proteins until it could predict 3D structures from amino acids alone.
The Stanford team trained a neural network with data from 200,000 motion samples, including test drives on slippery surfaces like snow and ice.
To build a neural network- the primary architecture of AI software- also requires many different processes to take place simultaneously.
While not really a neural network, they do resemble neural networks  and form the theoretical basis for BMs and HNs.
Pensieve trains a neural network model that selects bitrates for future video chunks based on observations collected by client video players.