图 书 馆开课单位--圭尔夫大学
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1An Overview of Deep Learning and Its Challenges for Technical Computing[深度学习及其对技术计算的挑战概述]
Graham Taylor(圭尔夫大学) An Overview of Deep Learning and Its Challenges for Technical Computing
热度：26
Graham Taylor(圭尔夫大学) An Overview of Deep Learning and Its Challenges for Technical Computing
热度：26
2Dynamical Binary Latent Variable Models for 3D Human Pose Tracking[动态二进制潜变量模型的三维人体姿态跟踪]
Graham Taylor(圭尔夫大学) We introduce a new probability like latent variable model, which is called the conditional constrained Boltzmann implicit hybrid (imcrbm) for human po...
热度：63
Graham Taylor(圭尔夫大学) We introduce a new probability like latent variable model, which is called the conditional constrained Boltzmann implicit hybrid (imcrbm) for human po...
热度：63
3Factored Conditional Restricted Boltzmann Machines for Modeling Motion Style[用于运动风格建模的因子条件受限Boltzmann机]
Graham Taylor(圭尔夫大学) The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits...
热度：85
Graham Taylor(圭尔夫大学) The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits...
热度：85
4Learning multi-scale temporal dynamics with recurrent neural networks[用递归神经网络学习多尺度时间动力学]
Graham Taylor(圭尔夫大学) The last three years have seen an explosion of activity studying recurrent neural networks (RNNs), a generalization of feedforward neural networks whi...
热度：56
Graham Taylor(圭尔夫大学) The last three years have seen an explosion of activity studying recurrent neural networks (RNNs), a generalization of feedforward neural networks whi...
热度：56
5A tutorial on deep and unsupervised feature learning for activity recognition[关于活动识别的深度和无监督特征学习的教程]
Graham Taylor(圭尔夫大学) Recognition of human activity from video data is a challenging problem that has received an increasing amount of attention from the computer vision co...
热度：99
Graham Taylor(圭尔夫大学) Recognition of human activity from video data is a challenging problem that has received an increasing amount of attention from the computer vision co...
热度：99
6Factored Conditional Restricted Boltzmann Machines for Modeling Motion Style[基于因子约束条件的玻尔兹曼机建模]
Graham Taylor(圭尔夫大学) The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits...
热度：108
Graham Taylor(圭尔夫大学) The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits...
热度：108
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