paper_implementation
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Implementation of various generative deep model using tensorflow
deep learning paper implementation
TO-DO
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- [ ] Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks http://arxiv.org/abs/1312.6082
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- [ ] Multiple Object Recognition with Visual Attention https://arxiv.org/abs/1412.7755
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- [ ] Recurrent Models of Visual Attention https://arxiv.org/abs/1406.6247
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- [x] DRAW: A Recurrent Neural Network For Image Generation https://arxiv.org/abs/1502.04623
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- [ ] Neural Turing Machines https://arxiv.org/abs/1410.5401
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- [ ] Pixel Recurrent Neural Networks https://arxiv.org/abs/1601.06759
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- [ ] Conditional Image Generation with PixelCNN Decoders https://arxiv.org/abs/1606.05328
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- [ ] Learning to learn by gradient descent by gradient descent https://arxiv.org/pdf/1606.04474v2.pdf
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- [ ] Language Modeling with Gated Convolutional Networks https://arxiv.org/abs/1612.08083
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- [ ] Show, Attend and Tell: Neural Image Caption Generation with Visual Attention https://arxiv.org/abs/1502.03044
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- [ ] Maxout Networks https://arxiv.org/abs/1302.4389
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- [ ] A Decomposable Attention Model for Natural Language Inference https://arxiv.org/pdf/1606.01933.pdf