DeepLearnToolbox_CNN_lzbV2.0

深度学习,卷积神经网络,Matlab工具箱



参考文献:

[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006

[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998

[3] https://github.com/rasmusbergpalm/DeepLearnToolbox



作者：陆振波

电子邮件：luzhenbo2@qq.com

个人博客: http://blog.sina.com.cn/luzhenbo2

毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士

精通方向：数据挖掘，数字信号(图像、视频)处理，人工智能与模式识别，群体智能优化，非线性与混沌，支持向量机，Matlab与VC++混编

擅长技能：战略规划，团队管理，C，C++，Matlab，OpenCV，DSP，并行计算，图像处理，模式识别，机器学习，智能视觉，神经网络，人脸检测，行人检测，车牌识别，机器视觉，特征提取，支持向量机，无人驾驶，自动驾驶，智能眼镜，辅助驾驶，ADAS，AdaBoost，LBP，HOG，MeanShift，目标检测，目标识别，目标跟踪，数据挖掘，大数据

-DeepLearnToolbox CNN lzbV2.0

Deep Learning, convolution neural network, Matlab toolbox



　reference:

　[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006

　[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998

　[3] https://github.com/rasmusbergpalm/DeepLearnToolbox



　Author: Lu Zhenbo

　E-mail: luzhenbo2@qq.com

　Personal blog: http://blog.sina.com.cn/luzhenbo2

　Graduated: Naval University of Engineering, Naval Architecture and Marine Engineering (Underwater Acoustic), Dr.

　Proficient direction: data mining, digital signal (image, video) processing, artificial intelligence and pattern recognition, swarm intelligence optimization, nonlinear and chaotic, support vector machines, Matlab and VC++ mixed

　Good skills: strategic planning, team management, C, C++, Matlab, OpenCV, DSP, parallel computing, image processing, pattern recognition, machine learning, intelligent vision, neural networks, face detection, pedestrian detection, lice