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Optimizers for Neural Network Training by Manohar Suman is a document available to read on EtoBox.

What is Optimizers for Neural Network Training about?

The document discusses various optimizers used for neural network training, including: 1. Gradient descent and its variants like stochastic gradient descent and mini-batch gradient descent. 2. Momentum and Nesterov accelerated gradient methods to reduce variance. 3. Adaptive learning rate methods like Adagrad, Adadelta, and Adam that modify the learning rate for each parameter. 4. Adam is highlighted as one of the best optimizers as it converges rapidly and handles vanishing/exploding gradients well. Ch

Author

Manohar Suman

Language

EN