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deep learning anomaly detection bayesian optimization control dynamics kinematics robotics optimal control machine learning gan one-shot learning nlp 자연어처리 lstm tensorflow tutorial gaussian process global optimal gain lqr controller hyper parameter optimization gait optimization optimal data sampling strategy gaussian processing camera frame world frame image coordinate transformation camera projection policy net actuator net motor skill quadruped robots model based reinforcement learning quadruped robot recurrent neural net convolutional neural networks deep one class classifier support vector data description real time control rocket landing likelihood probability information theory entropy loss function cfd physics informed machine learning aerospace radial basis function neural net latent vector auto encoder rollable latent space capsule nets group equivariant convolutional. neural networks convolutional neural nets equivariance invariance 이상진단 generative adversarial network anomaly sdetection imbalance problem classfication detection focal loss convolution pointwise convolution xception depthwise convolution mobilenets transaction probability round trip probability similarity semi-supervised variational auto encoder latent variable generative model hls fpga binarized cnn t-sne data visualization t-stochastic neighbor embedding weight normalization normalization layer normalization batch normalization image classification memory variational information maximization latent code infogan generative adversarial nets neural turing machine memory networks memory- augmented neural network adaptive attention image captioning single shot multibox detector segmentation object detection recurrent instance segmentation 딥러닝 cbow 머신러닝 skip gram 단어벡터 word vector q learning reinforcement learning object localization image caption generator mnist beginner machinelearning deep mnist for expert example cnn