例句與造句

1. The learning rate was determined by vanilla stochastic gradient descent.
2. Stochastic gradient descent competes with the L-BFGS algorithm, which is also widely used.
3. This is done using standard neural net training algorithms such as stochastic gradient descent with backpropagation.
4. Unlike in classical stochastic gradient descent, it tends to keep traveling in the same direction, preventing oscillations.
5. Stochastic gradient descent has been used since at least 1960 for training linear regression models, originally under the name ADALINE.
6. It's difficult to find stochastic gradient descent in a sentence. 用stochastic gradient descent造句挺難的
7. This can perform significantly better than true stochastic gradient descent because the code can make use of vectorization libraries rather than computing each step separately.
8. Consequently, the hinge loss function cannot be used with gradient descent methods or stochastic gradient descent methods which rely on differentiability over the entire domain.
9. He developed the open source software LaSVM for fast large-scale support vector machine, and stochastic gradient descent software for training linear SVM and Conditional Random Fields.
10. This function is not naturally represented as a product of the true label and the predicted value, but is convex and can be minimized using stochastic gradient descent methods.
11. It also has StochasticGradient class for training a neural network using Stochastic gradient descent, although the Optim package provides much more options in this respect, like momentum and weight decay regularization.
12. Often the term " backpropagation " is used in a more general sense, to refer to the entire procedure encompassing both the calculation of the gradient and its use in stochastic gradient descent, but backpropagation properties can be used with any gradient-based optimizer, such as L-BFGS or truncated Newton.
13. Based on even larger datasets of over 500 million revisions across five languages ( en : English, de : German, es : Spanish, fr : French, and ru : Russian ), Tran & Christen's latest work adds to the efforts by applying several supervised machine learning algorithms from the Scikit-learn toolkit, including Decision Tree ( DT ), Random Forest ( RF ), Gradient Tree Boosting ( GTB ), Stochastic Gradient Descent ( SGD ) and Nearest Neighbour ( NN ).