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Implementation of various generative deep model using tensorflow

deep learning paper implementation

TO-DO

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