Examples of using Reshape in English and their translations into Chinese
{-}
-
Political
-
Ecclesiastic
-
Programming
Also, the reshape() function is applied to modify the dimensions of the originally generated matrix into the desired dimension.
It's an endeavor that could fundamentally reshape the way companies interact with data.
However, more so than that, a new trend is emerging that will reshape city landscapes as we know them today.
He was able to restore order to the dispirited troops and reshape an army that could fight as a regular force again.
Reshape command transforms our 28x28 images into single vectors of 784 pixels.
A number of exponentially growing technologies will massively increase human capability and fundamentally reshape our future'.
So, as we start this academic year, we can reshape our community and the ways we treat each other.
Reshape operation creates a new tensor with a different dynamic shape.
Current investigations of the world's vast array of plant proteins could fundamentally reshape our food supply for the better.
The strategic significance of the development of mineral resources,"Thirteen five" period, China will reshape the mineral resources development and protection strategy.
At the core of Moody's global CSR focus is Reshape Tomorrow™, a financial empowerment initiative to help people succeed in growing a small business.
How will regional variations in China, Europe, Brazil, India, and the United States reshape cars, carmakers, and the automotive“user experience”?
Inland China will experience major shifts in rain and snowfall, which will reshape agriculture.
Moody's is seeking proposals from nonprofits to help provide Reshape Tomorrow programs and resources in business development, financial empowerment and other areas.
Those results, at odds with a large 2018 study, could dramatically reshape projections of sea level rise if confirmed.
The group said in its report that the technology could reshape the way in which accountants make money.
Reshape(A, dims…) an array with the same data as the given array, but with different dimensions.
For us, it's really about transforming the world one student at a time so he/she can reshape the future.
Those results, at odds with a large 2018 study, could dramatically reshape projections of sea level rise if confirmed.
What is the difference between x. set_shape() and x= tf. reshape(x)?