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图像处理
视频处理
github
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Action Recognition
Image Recognition
LSTM
Lipreading
Object detection
Face Recognition
Blog
为博客添加 Gitalk 评论插件
BY Blog 添加 Gitalk 的评论插件了
iOS
5分钟带你看完 WWDC 2018
WWDC 2018 Keynote 全记录
Xcode命令行工具管理
如何切换Xcode命令行工具
从一道网易面试题浅谈 Tagged Pointer
浅谈 Tagged Pointer
BJJ
柔术最大的谎言「译」
辩证分析柔术中技术与力量
Xcode
Xcode命令行工具管理
如何切换Xcode命令行工具
ubuntu
Install TensorFlow-GPU by Anaconda (conda install tensorflow-gpu)
It might be the simplest way to install Tensorflow or Tensorflow-GPU by conda install in the conda environment
使用Tensorflow搭建CNN训练MNIST遇到GPU显存资源耗尽问题的解决方法
tensorflow.python.framework.errors_impl.ResourceExhaustedError 的解决方法
ubuntu环境下，系统无法与NVIDIA通信的解决方法
系统错误提示：NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver 的解决方法
CUDA
Install TensorFlow-GPU by Anaconda (conda install tensorflow-gpu)
It might be the simplest way to install Tensorflow or Tensorflow-GPU by conda install in the conda environment
ubuntu环境下，系统无法与NVIDIA通信的解决方法
系统错误提示：NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver 的解决方法
TensorFlow
Coursera《Introduction to TensorFlow》第四周测验
《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第四周(Using Real-world Images)的测验答案
Coursera《Introduction to TensorFlow》第三周测验
《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第三周(Enhancing Vision with Convolutional Neural Networks)的测验答案
Install TensorFlow-GPU by Anaconda (conda install tensorflow-gpu)
It might be the simplest way to install Tensorflow or Tensorflow-GPU by conda install in the conda environment
Coursera《Introduction to TensorFlow》第二周测验
《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第二周(Introduction to Computer Vision)的测验答案
Coursera《Introduction to TensorFlow》第一周测验
《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第一周(A New Programming Paradigm)的测验答案
使用Tensorflow搭建CNN训练MNIST遇到GPU显存资源耗尽问题的解决方法
tensorflow.python.framework.errors_impl.ResourceExhaustedError 的解决方法
ubuntu环境下，系统无法与NVIDIA通信的解决方法
系统错误提示：NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver 的解决方法
深度学习
人脸识别原理(以GitHub项目face_recognition为例)
Face Recognition based on DNN
目标检测经典算法总结(R-CNN, Fast R-CNN, Faster R-CNN, YOLO)
Including brief overview of R-CNN, Fast R-CNN, Faster R-CNN and YOLO.
文献总结《You Only Look Once：Unified, Real-Time Object Detection》
YOLO：统一、实时的目标检测
文献总结《Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading》
使用双流深度三维卷积神经网络学习唇语的时空特征
文献总结《Multimodal Gesture Recognition Using 3-D Convolution and Convolutional LSTM》
使用3D卷积和卷积LSTM进行多模手势识别
文献总结《Learning Spatiotemporal Features using 3DCNN and Convolutional LSTM for Gesture Recognition》
使用3D卷积和卷积LSTM学习时空特征用于手势识别
文献总结《Deep Residual Learning for Image Recognition》(附TensorFlow代码)
图像识别的深度残差学习
文献总结《Learning Spatiotemporal Features with 3D Convolutional Networks》(附TensorFlow代码)
使用3D卷积神经网络学习时空特征
Coursera《Introduction to TensorFlow》第四周测验
《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第四周(Using Real-world Images)的测验答案
Coursera《Introduction to TensorFlow》第三周测验
《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第三周(Enhancing Vision with Convolutional Neural Networks)的测验答案
Install TensorFlow-GPU by Anaconda (conda install tensorflow-gpu)
It might be the simplest way to install Tensorflow or Tensorflow-GPU by conda install in the conda environment
Coursera《Introduction to TensorFlow》第二周测验
《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第二周(Introduction to Computer Vision)的测验答案
Coursera《Introduction to TensorFlow》第一周测验
《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第一周(A New Programming Paradigm)的测验答案
使用Tensorflow搭建CNN训练MNIST遇到GPU显存资源耗尽问题的解决方法
tensorflow.python.framework.errors_impl.ResourceExhaustedError 的解决方法
ubuntu环境下，系统无法与NVIDIA通信的解决方法
系统错误提示：NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver 的解决方法
CNN
人脸识别原理(以GitHub项目face_recognition为例)
Face Recognition based on DNN
目标检测经典算法总结(R-CNN, Fast R-CNN, Faster R-CNN, YOLO)
Including brief overview of R-CNN, Fast R-CNN, Faster R-CNN and YOLO.
文献总结《You Only Look Once：Unified, Real-Time Object Detection》
YOLO：统一、实时的目标检测
文献总结《Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading》
使用双流深度三维卷积神经网络学习唇语的时空特征
文献总结《Multimodal Gesture Recognition Using 3-D Convolution and Convolutional LSTM》
使用3D卷积和卷积LSTM进行多模手势识别
文献总结《Learning Spatiotemporal Features using 3DCNN and Convolutional LSTM for Gesture Recognition》
使用3D卷积和卷积LSTM学习时空特征用于手势识别
文献总结《Deep Residual Learning for Image Recognition》(附TensorFlow代码)
图像识别的深度残差学习
文献总结《Learning Spatiotemporal Features with 3D Convolutional Networks》(附TensorFlow代码)
使用3D卷积神经网络学习时空特征
使用Tensorflow搭建CNN训练MNIST遇到GPU显存资源耗尽问题的解决方法
tensorflow.python.framework.errors_impl.ResourceExhaustedError 的解决方法
机器学习
Coursera《Introduction to TensorFlow》第四周测验
《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第四周(Using Real-world Images)的测验答案
Coursera《Introduction to TensorFlow》第三周测验
《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第三周(Enhancing Vision with Convolutional Neural Networks)的测验答案
Coursera《Introduction to TensorFlow》第二周测验
《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第二周(Introduction to Computer Vision)的测验答案
Coursera《Introduction to TensorFlow》第一周测验
《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第一周(A New Programming Paradigm)的测验答案
Coursera《机器学习》(吴恩达)编程作业第九周(ex8)
吴恩达机器学习课程编程作业 Week9 /exercise8
Coursera《机器学习》(吴恩达)编程作业第八周(ex7)
吴恩达机器学习课程编程作业 Week8 /exercise7
Coursera《机器学习》(吴恩达)编程作业第七周(ex6)
吴恩达机器学习课程编程作业 Week7 /exercise6
Coursera《机器学习》(吴恩达)编程作业第六周(ex5)
吴恩达机器学习课程编程作业 Week6 /exercise5
Coursera《机器学习》(吴恩达)编程作业第五周(ex4)
吴恩达机器学习课程编程作业 Week5 /exercise4
Coursera《机器学习》(吴恩达)编程作业第四周(ex3)
吴恩达机器学习课程编程作业 Week4 /exercise3
Coursera《机器学习》(吴恩达)编程作业第三周(ex2)
吴恩达机器学习课程编程作业 Week3 /exercise2
Coursera《机器学习》(吴恩达)编程作业第二周(ex1)
吴恩达机器学习课程编程作业 Week2 /exercise1
MATLAB
Coursera《数字图像和视频处理基础》第二周测验
《Fundamentals of Digital Image and Video Processing》第二周(Signals and Systems)的测验答案
Coursera《数字图像和视频处理基础》第一周测验
《Fundamentals of Digital Image and Video Processing》第一周(Introduction to Image and Video Processing)的测验答案
Coursera《机器学习》(吴恩达)编程作业第九周(ex8)
吴恩达机器学习课程编程作业 Week9 /exercise8
Coursera《机器学习》(吴恩达)编程作业第八周(ex7)
吴恩达机器学习课程编程作业 Week8 /exercise7
Coursera《机器学习》(吴恩达)编程作业第七周(ex6)
吴恩达机器学习课程编程作业 Week7 /exercise6
Coursera《机器学习》(吴恩达)编程作业第六周(ex5)
吴恩达机器学习课程编程作业 Week6 /exercise5
Coursera《机器学习》(吴恩达)编程作业第五周(ex4)
吴恩达机器学习课程编程作业 Week5 /exercise4
Coursera《机器学习》(吴恩达)编程作业第四周(ex3)
吴恩达机器学习课程编程作业 Week4 /exercise3
Coursera《机器学习》(吴恩达)编程作业第三周(ex2)
吴恩达机器学习课程编程作业 Week3 /exercise2
Coursera《机器学习》(吴恩达)编程作业第二周(ex1)
吴恩达机器学习课程编程作业 Week2 /exercise1
Keras
Coursera《Introduction to TensorFlow》第四周测验
《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第四周(Using Real-world Images)的测验答案
Coursera《Introduction to TensorFlow》第三周测验
《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第三周(Enhancing Vision with Convolutional Neural Networks)的测验答案
Coursera《Introduction to TensorFlow》第二周测验
《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第二周(Introduction to Computer Vision)的测验答案
Coursera《Introduction to TensorFlow》第一周测验
《Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning》第一周(A New Programming Paradigm)的测验答案
图像处理
文献总结《Deep Residual Learning for Image Recognition》(附TensorFlow代码)
图像识别的深度残差学习
Coursera《数字图像和视频处理基础》第二周测验
《Fundamentals of Digital Image and Video Processing》第二周(Signals and Systems)的测验答案
Coursera《数字图像和视频处理基础》第一周测验
《Fundamentals of Digital Image and Video Processing》第一周(Introduction to Image and Video Processing)的测验答案
视频处理
Coursera《数字图像和视频处理基础》第二周测验
《Fundamentals of Digital Image and Video Processing》第二周(Signals and Systems)的测验答案
Coursera《数字图像和视频处理基础》第一周测验
《Fundamentals of Digital Image and Video Processing》第一周(Introduction to Image and Video Processing)的测验答案
github
搭建个人博客教程(基于github pages和jekyll)
The simplest way of building a personal website based on github pages and jekyll
jekyll
搭建个人博客教程(基于github pages和jekyll)
The simplest way of building a personal website based on github pages and jekyll
Action Recognition
文献总结《Multimodal Gesture Recognition Using 3-D Convolution and Convolutional LSTM》
使用3D卷积和卷积LSTM进行多模手势识别
文献总结《Learning Spatiotemporal Features using 3DCNN and Convolutional LSTM for Gesture Recognition》
使用3D卷积和卷积LSTM学习时空特征用于手势识别
文献总结《Learning Spatiotemporal Features with 3D Convolutional Networks》(附TensorFlow代码)
使用3D卷积神经网络学习时空特征
Image Recognition
文献总结《Deep Residual Learning for Image Recognition》(附TensorFlow代码)
图像识别的深度残差学习
LSTM
文献总结《Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading》
使用双流深度三维卷积神经网络学习唇语的时空特征
文献总结《Multimodal Gesture Recognition Using 3-D Convolution and Convolutional LSTM》
使用3D卷积和卷积LSTM进行多模手势识别
文献总结《Learning Spatiotemporal Features using 3DCNN and Convolutional LSTM for Gesture Recognition》
使用3D卷积和卷积LSTM学习时空特征用于手势识别
Lipreading
文献总结《Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading》
使用双流深度三维卷积神经网络学习唇语的时空特征
Object detection
目标检测经典算法总结(R-CNN, Fast R-CNN, Faster R-CNN, YOLO)
Including brief overview of R-CNN, Fast R-CNN, Faster R-CNN and YOLO.
文献总结《You Only Look Once：Unified, Real-Time Object Detection》
YOLO：统一、实时的目标检测
Face Recognition
人脸识别原理(以GitHub项目face_recognition为例)
Face Recognition based on DNN
