如果难以说明的话,请教我一下例句。 I wonder the difference between function and feature. I searched internet for it and read some information about it. I couldn't understand it in detail, so could you give me definitions of two words that tell the difference and some example sentences with ...
feature指的是一类东西中不同的功能,而function作为功能讲是最普通的
The base word of “functionality,” is “function.” The word functionality is used to describe how well something functions.Example.The way solar panels function, is they collect energy from the sun and stores it. It call then be used as electricity.A synonym for “function” would be “w...
Function vs feature.Discusses the benefits of a scooter to physically handicapped people in terms of function and feature. Difference between function and feature; Factors to consider when buying a scooter; Comments by several scooter manufacturers. INSET: Will Medicare approve a scooter for you?.....
Difference Between Component and Feature Table of Contents ADVERTISEMENTKey Differences Components are the building blocks of systems, products, or services, playing a crucial role in their overall structure and operation. Each component has a specific function that contributes to the system's ability ...
features. However, the bilinear up-sampling can blur the precise context learned in deep features and the convolutions are not optimal for speed and memory efficiency, especially for high resolution segmentation where the resolution difference between high-level context and low-level details can be ...
we propose the Feature Space Regularization loss to balance the distribution of samples in feature space and We use FSR to represent the Feature Space Regularization in the following content. The FSR loss make the difference in distance between all labeled samples and unlabeled samples as small as...
We will create a map widget, zoom in to the western corner of our study area and get the extent of the zoomed in map. We will use this extent in Export training data using deep learning function. export = learn.export_training_data(input_raster=input_raster, output_location=output_folder...
and forced the student network to approach the AFB of all stages. The advantage of this is that students can learn the complete reasoning process, and the block operation reduces the required calculation amount. The second part is about how to balance the loss function. We refer to the error...
(eg, neighborhood gray-tone difference matrices, gray-level run length matrices, and gray-level size zone matrices), shape features (eg sphericity and leastaxis); and wavelet features. After that, hypothesis testing, LASSO regression, and PCA were used for dimensionality reduction. In further ...