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Best practices for applying deep learning to novel areas - 2017.pdf

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Best practices for applying deep learning to novel areas - 2017.pdf
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Batch normalization: Accelerating deep network training by reducing internal covariate shift - 2015.pdf
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Deep forest: An alternative to deep neural networks - 2017.pdf
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Asynchronous methods for deep reinforcement learning - 2016.pdf
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Deep learning in neural networks: An overview - Schmidhuber - 2014.pdf
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An empirical exploration of recurrent network architectures - 2015.pdf
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Deep networks with stochastic depth - 2016.pdf
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Accurate image super-resolution using very deep convolutional networks.pdf
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FireCaffe: near-linear acceleration of deep neural network training on compute clusters - 2016.pdf
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3d depth reconstruction from a single still image.pdf
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Forward thinking: Building and training neural networks one layer at a time - 2017.pdf
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GeePS: Scalable deep learning on distributed GPUs with a GPU-specialized parameter server - 2016.pdf
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Grammar as foreign language - 2014.pdf
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How to construct deep recurrent neural networks - 2013.pdf
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Improving neural networks by preventing co-adaptation of feature detectors - 2012.pdf
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Machine learning of hierarchical clustering to segment 2D and 3D images - 2013.pdf
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Massively parallel methods for deep reinforcement learning - 2015.pdf
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Network trimming: A data-driven neuron pruning approach towards efficient deep architectures - 2016.pdf
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Neural Enquirer: Learning to Query Tables with Natural Language.pdf
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Optimal brain damage.pdf
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