[深度学习] 讲GCN的最好的资料

说明： Thomas Kipf亲自做的，非常详细，细致，很有收获！！！！！！！！！！
<guotong1988> 上传 | 大小：13mb

[深度学习] xception_weights_tf_dim_ordering_tf_kernels

说明： xception_weights_tf_dim_ordering_tf_kernels Linux下是放在“~/.keras/models/”中 Win下则放在Python的“settings/.keras/models/”中 Windows-weights路径：C:\Users\你的用户名\.keras\models anaconda下依然好用
<ttz_csdn> 上传 | 大小：81mb

[机器学习] Feature Engineering for Machine Learning - Alice Zheng

说明： Feature Engineering for Machine Learning - Principles and Techniques for Data Scientists Alice Zheng and Amanda Casari
<thundertide> 上传 | 大小：17mb

[深度学习] tensorflow入门之常用变量使用

说明： Tensorflow入门之常用变量使用、函数的使用、基于日常工作和学习的总结，希望广大战友有所帮助，谢谢
<meng1100> 上传 | 大小：387kb

[深度学习] vgg19_weights_tf_dim_ordering_tf_kernels_notop

说明： vgg19_weights_tf_dim_ordering_tf_kernels_notop Linux下是放在“~/.keras/models/”中 Win下则放在Python的“settings/.keras/models/”中 Windows-weights路径：C:\Users\你的用户名\.keras\models anaconda下依然好用
<ttz_csdn> 上传 | 大小：71mb

[深度学习] caffe官方教程中文版

说明： caffe官方教程，中文翻译。
<weixin_38668159> 上传 | 大小：1mb

[深度学习] vgg16_weights_tf_dim_ordering_tf_kernels_notop

说明： vgg16_weights_tf_dim_ordering_tf_kernels_notop Linux下是放在“~/.keras/models/”中 Win下则放在Python的“settings/.keras/models/”中 Windows-weights路径：C:\Users\你的用户名\.keras\models anaconda下依然好用
<ttz_csdn> 上传 | 大小：52mb

[深度学习] A curving ACC system with coordination control of longitudinal

说明： The paper presents a curving adaptive cruise control (ACC) system that is coordinated with a direct yawmoment control (DYC) system and gives consideration to both longitudinal car-following capability and lateral stability on curved roads. A model i
<czzc1990> 上传 | 大小：848kb

[深度学习] Flow Topology on Closed-loop Stability of Vehicle Platoon

说明： Besides automated controllers, the information flow among vehicles can significantly affect the dynamics of a platoon. This paper studies the influence of information flow topology on the closed-loop stability of homogeneous vehicular platoon moving
<czzc1990> 上传 | 大小：495kb

[深度学习] Robust control of heterogeneous vehicular platoon with uncertain dynamics

说明： Platoon formation of highway vehicles has the potential to significantly enhance road safety, improve highway utility, and increase traffic efficiency. However, various uncertainties and disturbances that are present in real-world driving conditions
<czzc1990> 上传 | 大小：592kb

[深度学习] Sampled-data vehicular platoon control with communication delay

说明： This article investigates sampled-data vehicular platoon control with communication delay. A new sampled-data control method is established, in which the effect of the communication delay is involved. First, a linearized vehicle longitudinal dynamic
<czzc1990> 上传 | 大小：1mb

[深度学习] Neural Networks and Learning Machines

说明： Decoupling of linear time-invariant systems by state feedback and precompensation has been treated in several papers (Falb and Wolovich 1967, Gilbert 1969, Wonham and Morse 1970, Silverman and Payne 1(71). A generalization of some results for time-v
<czzc1990> 上传 | 大小：403kb