Monday, February 23, 2015

Mobile robot mobile robot Computer vision Machine Learning machine learning, computer vision Ubuntu


Try using a caffe MNIST handwriting recognition Handwritten digit recognition using caffe $ CAFFE_ROOT / examples / mnist has been prepared for learning and demonstration test for mnist dataset. cd $ CAFFE_ROOT / data / mnist ./get_mnist.sh cd $ CAFFE_ROOT / examples / mnist ./create_mnist.sh If the command to perform under mnist dataset cd $ CAFFE_ROOT / examples / mnist ./train_lenet.sh this study, as shown in Figure You can see the progress. lr is the learning rate and the loss is the value of the loss function that occur at each stage.
The amazing thing is that all is done automatically except that all the actions that make up the first network. Are designed to make a filter cafe that extracts the feature points cafe from the computer, or non-visible when the gradient to design cafe a filter for detecting an edge, because the learning by the CNN input values are the value of the filter to self-learning to differentiate cafe better will be.
Install Nvidia cuda 6.0 on Ubuntu 14.04 LTS
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2015 (1) 1 월 (1) 2014 (56) 12 월 (2) 11 월 (3) 10 월 (6) 9 months (21) Using the debug console window in Visual Studio MFC programming Parameter 1 (a) 'const char [16]' 'LPCTSTR' (coming) to be ... Venice and the conversion from Vicenza to Venice and Vicenza travel trip # 6 # 5 # 4 trip to Venice and Vicenza and Venice Vicenza, cafe Venice and Vicenza travel trip # 3 # 2 in Venice and Vicenza Travel # 1 EKF vs. UKF nonlinear state transformation EKF vs. performance comparison UKF nonlinear state transformation performance comparison sample e-cigarette fastball Guide R-CNN install and run R-CNN: Regions cafe with Convolutional Neural Network F. .. caffe MNIST handwriting recognition, try to use R-CNN: Regions with Convolutional Neural Network F. .. caffe up and running ILSVRC (Large Scale Visual Recognition Challenge) Dyson360eye The Image of the Absolute Conic principle of the sundial cafe and computer cafe vision applications # 2 Principles and Applications of Computer Vision Sundial # 1 8 May (24)


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