stochastic gradient descent oor Sjinees
stochastic gradient descent
Vertalings in die woordeboek Engels - Sjinees
隨機梯度下降法
en
optimization algorithm
Geskatte vertalings
Vertoon algoritmies gegenereerde vertalings
voorbeelde
Advanced filtering
Voorbeelde moet herlaai word.
This can be solved using asynchronous stochastic gradient descent (Bengio et al., 2001; Recht et al., 2011).
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In 2004, Zlochin and his colleagues showed that COA-type algorithms could be assimilated methods of stochastic gradient descent, on the cross-entropy and estimation of distribution algorithm.
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We used the stochastic gradient descent (SGD) and stepwise learning rate strategies to train our model.
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Identify the pros and cons of using gradient descent, stochastic gradient descent, and mini-batches.
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Discover ways to use full batch, mini batch, or stochastic gradient descent.
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Stochastic Gradient Descent with Restarts (SGDR) was used as the annealing schedule.
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The stochastic gradient descent can then be run with discriminative fine-tuning:
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For example, stochastic gradient descent works well in many situations, but more advanced optimizers can be faster, especially for training very deep networks.
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In a typical machine learning system, an optimization algorithm like Stochastic Gradient Descent (SGD) runs on a large dataset partitioned homogeneously across servers in the cloud.
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In 2004, Zlochin and his colleagues[10] showed that COA-type algorithms could be assimilated methods of stochastic gradient descent , on the cross-entropy and estimation of distribution algorithm .
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There are various optimization algorithms that can be used to minimize the loss function such as gradient descent, or variants such as stochastic gradient descent, Adagrad, Adadelta, RMSprop, Adam, etc.
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In Part 3, we review the gradient descent and stochastic gradient descent (SGD) algorithms and explain the limitations of training with very large mini-batches; we discuss model and data parallelism; we review synchronous SGD (SSGD), asynchronous SGD (ASGD) and allreduce/broadcast algorithms; finally, we present recent advances that enable larger mini-batch size SSGD training and present state-of-the-art results.
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12 sinne gevind in 5 ms. Hulle kom uit baie bronne en word nie nagegaan nie.