Examples of using Multitask in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
People Cannot Multitask.
Multitask when you clean.
The man could multitask.
When is multitask learning effective?
The girl could multitask.
I may not multitask as well as I did before.
Can anyone really multitask?
We often multitask thinking that we will get more job done in a shorter time.
Can People Really Multitask?
Many people multitask but currently there is no measurement for someone's mental well-being.
Making a point to do one thing at a time and not multitask.
This doesn't mean that people who can multitask are better at maintaining their focus.
We know that our brains are rewired every time we use our phone to search orsurf or multitask.
It is commonly claimed that women can multitask better than men.
The next part is multitask learning, which consists of two sub-tasks: classification task and regression task.
It can be seen in Fig. 11 that it's a multitask learning model.
However, we found that the size of a pupil could be thekey to measuring someone's mental state while they multitask.”.
The reality is that for 99% of us, the more we multitask, the less productive we are.
Examples include architecture search for deep learning or other forms of design,as well as the parametrization of multitask networks.
These partitions allowed mainframes to“multitask”: run multiple applications and processes at the same time.
With the successful completion of training and accreditation,local deminers in the Abyei Area have been integrated into a multitask team.
Next, look at your powerful day to analyze when you might multitask or expand time and fold space.
In essence, the more we multitask the less we are able to accomplish, because we slowly lose our ability to focus enough to learn.
Overall, Ubuntu is apretty capable Linux distro that lets you multitask and complete your work with efficiency.
A variety of peripherals on the multitask machines: magnetic tape readers, Exabyte and TK 70 cassette players, optical discs and graphical and Postscript printers.
People born in the digital age are no more proficient with technology,can not multitask, and do not require different“styles” of education.
This demonstrates how destructive multitasking is highlighting the fact that when we multitask, we are greatly limiting ourselves.
Massively Multitask Networks for Drug Discovery: A deep neural network model for identifying promising drug candidates by Google in association with Stanford University.
No matter how much you think you can multitask, the fact remains that you could ultimately focus on only ONE thing at a time.
One direction for improving data efficiency is multitask learning with shared neural network parameters, where efficiency may be improved through transfer across related tasks.