例句與造句

1. NMT models apply deep representation learning.
2. "' Sparse dictionary learning "'is a representation learning method which aims at finding a orthogonal, and they may be an over-complete spanning set.
3. This method allows us to gradually update the dictionary as new data becomes available for sparse representation learning and helps drastically reduce the amount of memory needed to store the dataset ( which often has a huge size ).
4. Representation learning algorithms often attempt to preserve the information in their input but transform it in a way that makes it useful, often as a pre-processing step before performing classification or predictions, allowing to reconstruct the inputs coming from the unknown data generating distribution, while not being necessarily faithful for configurations that are implausible under that distribution.
5. It's difficult to find representation learning in a sentence. 用representation learning造句挺難的