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