Sentence examples for gradient of loss from inspiring English sources

Gradient of loss function is the superior direction.

Instead of updating the parameters after every training examples (stochastic gradient descent) or updating the parameters once after all the training examples have been processed (batch gradient descent), this technique speeds up the training process as gradient of loss is averaged over each mini-batch (Table 1).

ALS usually presents as a focal weakness, with atrophy of muscles in the proximal limbs or body region, and this atrophy progressively spreads to distal muscle groups over time (Ravits et al., 2007b), with a gradient of loss of motor neurons from the site of onset (Ravits et al., 2007a).

We apply some weight update rule based on the gradient descent of loss function to optimize the weight of the network and hence, train the network to learn the function required to describe the input examples.

In addition, noise-induced OHC losses started at 3.0 mm from the apex with a gradient of increased loss toward the base.

Cell loss was non-uniform, showing a clear predilection for dorsolateral (motor) striatum, and a rostro-caudal gradient of cell loss, with relative sparing of caudal regions.

The first and second order gradient of this loss function are: g_{i} = 2(hat{y} - y) h_{i} = 2.

After all the intermediate gradients have been obtained, the gradient of the loss function relative to the internal weight of each module is calculated.

The main idea of GBM is to learn the data to achieve maximum correlation with the negative gradient of the loss function (Natekin and Knoll 2013).

Indeed, a new weak learner is constructed to be maximally correlated with the negative gradient of the loss function associated with the whole assembly for each iteration [36].

The Nelder Mead algorithm is a non-linear minimization routine which uses a bounding-polygon method to zero-in on the minimum and thus avoids the need to provide the gradient of the loss function.