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harshraj11584 / Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder

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[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

adadelta momentum gradient-descent optimization-methods optimization-algorithms adam adagrad rmsprop gradient-descent-algorithm stochastic-optimizers stochastic-gradient-descent gradient-boosting adam-optimizer adamax stochastic-optimization batch-gradient-descent nesterov-accelerated-sgd amsgrad nesterov-momentum nadam
  • Updated Mar 23, 2019
  • Python

qdm097 / MNIST-CNN

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Digit recognition neural network using the MNIST dataset. Features include a full gui, convolution, pooling, momentum, nesterov momentum, RMSProp, batch normalization, and deep networks.

neural-network mnist neural-networks mnist-dataset image-classification image-recognition convolution convolutional-neural-networks gradient-descent neural-nets rmsprop stochastic-gradient-descent neuralnetworks pooling batchnorm nesterov-accelerated-sgd mnist-handwriting-recognition transposedconvolution nesterov-momentum
  • Updated Jun 8, 2020
  • C#

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