[深度学习] inception_v3_weights_tf_dim_ordering_tf_kernels_notop_update

说明： inception_v3_weights_tf_dim_ordering_tf_kernels_notop_update 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
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[机器学习] K-Means聚类算法

说明： 这份笔记对应斯坦福大学机器学习课程中K-Means算法的相关视频。
<qq_30091945> 上传 | 大小：426kb

[深度学习] Stability Margin Improvement of Vehicular Platoon Considering

说明： The platooning of autonomous vehicles has the potential to significantly improve traffic capacity, enhance highway safety, and reduce fuel consumption. This paper studies the scalability limitations of large-scale vehicular platoons moving in rigid
<czzc1990> 上传 | 大小：2mb

[深度学习] Platoon Control of Connected Vehicles from a Networked Control Perspective

说明： The platooning of connected and automated vehicles has the potential to significantly benefit the road traffic, including enhancing highway safety, improving traffic capacity, and reducing fuel consumption. This paper presents a four-component analy
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[深度学习] Dynamical Modeling and Distributed Control of Connected and Automated Vehicles

说明： The platooning of connected and automated vehicles (CAVs) is expected to have a transformative impact on road transportation, e.g., enhancing highway safety, improving traffic utility, and reducing fuel consumption. Requiring only local information,
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[深度学习] Distributed Adaptive Sliding Mode Control of Vehicular Platoon

说明： In a platoon control system, a fixed and symmetrical topology is quite rare, because of adverse communication environments and continuously moving vehicles. This paper presents a DASMC (Distributed Adaptive Sliding Mode Control) scheme for more real
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[深度学习] jieba+百度分词词库(60万+)

说明： jieba和百度分词词库；
<qq_30317861> 上传 | 大小：2mb

[深度学习] inception_v3_weights_tf_dim_ordering_tf_kernels_notop

说明： inception_v3_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
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[VR] dso_ros-catkin版本

说明： 使用方法参照https://blog.csdn.net/TaTianZhuanShi/article/details/54412392?locationNum=10&fps=1 但是在步骤下载ros_dso并按照这一步，不要执行git clone https://github.com/JakobEngel/dso_ros这一句，这个资源不是catkin版本的，所以后面会有问题。
<luanfei3717> 上传 | 大小：17kb

[深度学习] inception_v3_weights_tf_dim_ordering_tf_kernels

说明： inception_v3_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
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[机器学习] AI简史-一张图读懂

说明： AI的发展历史：你可能听说过神经网络，这是当今最前沿的人工智能背后的AI工具。虽然深度学习的概念相对较新，但它们建立的基础可以追溯到1943年的数学理论。
<qq_27586341> 上传 | 大小：2mb

[深度学习] xception_weights_tf_dim_ordering_tf_kernels_notop

说明： xception_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：73mb