CNN Demo LIU Pengpeng.

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Presentation transcript:

CNN Demo LIU Pengpeng

Classification A simple model on MNIST dataset Tutorial: https://www.tensorflow.org/get_started/mnist/pros Code: https://github.com/tensorflow/tensorflow/blob/r1.3/tensorflow/examples/tutorials/mnist/mnist_deep .py A template for constructing larger and sophisticated models Tutorial: https://www.tensorflow.org/tutorials/deep_cnn Code: https://github.com/tensorflow/models/tree/master/tutorials/image/cifar10/ More examples https://github.com/tensorflow/models Slim is very convenient: https://github.com/tensorflow/models/tree/master/research/slim

Pixel-wise Classification Fully convolutional network (FCN) Paper: Fully Convolutional Networks for Semantic Segmentation Code: https://github.com/shekkizh/FCN.tensorflow

Regression Depth Prediction with FCNs Code: https://github.com/iro-cp/FCRN-DepthPrediction

Deep Reinforcement Learning Using Deep Q-Network to Learn How To Play Flappy Bird Code: https://github.com/yenchenlin/DeepLearningFlappyBird

Style Transfer Neural style transfer Paper: A Neural Algorithm of Artistic Style Code: https://github.com/anishathalye/neural-style

Generative Adversarial Networks (GANs) Deep Convolutional Generative Adversarial Network (DCGAN) Paper: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Code: https://github.com/carpedm20/DCGAN-tensorflow (a very good template)