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ttungl / Deep-Learning

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Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and R…

machine-learning deep-learning tensorflow word2vec recurrent-neural-networks lstm dropout regularization convolutional-networks stochastic-gradient-descent long-short-term-memory-models relus
  • Updated Dec 13, 2017
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