资源列表
TensorFlow
- 这是香港科技大学的tensorflow课程，对于深度学习入门很有帮助(This is the tensorflow course at the Hong Kong University Science & Technology, which is helpful for the introduction of deep learning)
F16 simulation
- to simulate dynamic motion of F16
F16 simulation
- T0 SIMULATE DYNAMIC MOTION OF F16
Introduction-to-Algorithms
- 有算法导论英文版和中文版，现代计算机常用数据结构和算法-With Introduction to Algorithms, English and Chinese, modern computer data structures and algorithms commonly used
01-课件
- 吴恩达 人工智能课程课件讲义，含已出的4个课程(The Wu Enda artificial intelligence course lecture notes, including the 4 courses already out)
SceneTextCNN_demo.tar
- 端至端卷积神经网络的文字识别,代码演示包. 它包含我们的论文中使用的所有主要组成部分: kmeans无监督特征学习 + 卷积神经网络(CNN)-This is a demo package of the code we used for our paper, "End-to-End Text Recognition with Convolutional Neural Networks", T. Wang, D. Wu, A. Coates, A. Ng, in ICPR 2012.
Keras快速上手：基于Python的深度学习实战
- 该书理论和实践相结合，介绍了当前深度学习应用的几个主要框架和应用方向，实用性强，内容紧凑。基于Keras这个高度抽象的深度学习环境，全书强调快速构造深度学习模型和应用于实际业务，因此特别适合深度学习实践者和入门者学习，是一本必不可少的参考书。(The book combines theory and practice to introduce several main frameworks and application directions of current deep learning a
c++ code
- 有计算机图形学、图像处理、dbms、sniffer、中游俄罗斯*、othello、遗传算法、舌苔分析等程序。-computer graphics, image processing, DBMS, sniffers, the Russian middle pylons, othello, genetic algorithm, fur analysis procedures.
xingrengenzong
- 三维重建技术的研究是计算机视觉学科的一个重要领域，而双目视觉则是三维重建中的一项重要技术，它利用左右摄像机拍摄出的立体图像对，依据其中包含的几何关系将场景的三维信息重构出来。-Three-dimensional reconstruction of the research is an important subject of computer vision field, while binocular vision is three-dimensional reconstruction of a
darknet-master
- 经典的darknet框架，可以直接进行图片识别，也可以自己训练模型(Classic Darknet framework, you can directly picture recognition, you can also train your own model)
Essential_RenderMan_Fast
- 介绍RenderMax标准接口函数API。包含每章的列子程序。-Introduction RenderMax standard interface functions API. Each chapter contains Liezi program.
LTE_System_Level_1.1_r295
- LTE 系统级仿真 希望大家多多指教-LTE SYSTEM LEVEL