smp training

Other articles Http://blog.csdn.net/baolinq The last time I wrote an article about using YOLO to train an VOC dataset, the Portal (http://blog.csdn.net/baolinq/article/details/78724314). But you can't always use just one dataset and use a few datasets to see the results. Because I am mainly in the vehicle and pedestrian detection. Just Kitti data set is a public authoritative data set for unmanned driving, including a large number of roads, city streets and other road traffic data set

The following are all transferred from http://www.cnblogs.com/xfzhang/archive/2013/05/24/3096412.html In machine learning with supervised (supervise), datasets are often divided into two or three groups: the training set (train set) validation set (validation set) test set. Http://blog.sina.com.cn/s/blog_4d2f6cf201000cjx.html It is generally necessary to divide the sample into separate three-part training s

Demo from neural network theory and Matlab 7 ImplementationFirst, we will introduce several types of functions commonly used by BP networks in the MATLAB toolbox: Forward network creation functions: Newcf creates a cascaded forward Network Newff creates a Forward BP Network Newffd creates a forward network with input delayTransfer Function: Logsig S-type logarithm function Function of dlogsig logsig Tansig s tangent function Function of dtansig tansig Purelin pure linear functions Guide functi

Yesterday received a high school classmate telephone, this high school classmate did not contact the programming aspect, the university also did not read, in high School is a study slag, high school did not read the kind, the previous months from the online saw the Android training, ran to Shenzhen an Android training organization training, recently just graduate

I have been working in the company for four years and have organized two new employee trainings. Now I will organize New Employee trainings this year. In this process, I would like to share some experiences and ideas with you. First time: Photo and tiger When I first organized training for new employees, I didn't have much time to do my work, so I was really limited. My only advantage was that I had attended a system

experimental data : Cat-dog Two classification, training set: 19871 validation set: 3975Experimental model : resnet-18batchsize: 128*2 (one K80 to eat 128 photos) the problem : the training set accuracy can reach 0.99 loss=1e-2-3, but the validation set accuracy 0.5,loss is very high, try a number of initial learning rate (0.1-0.0001) are not solve the above problem : Take the warm up method, a little help

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KERAS:ACC and Val_acc was constant over epochs, was this normal? Https://stats.stackexchange.com/questions/259418/keras-acc-and-val-acc-are-constant-over-300-epochs-is-this-normal It seems that your model was not able to make sensible adjustments to your weights. The log loss is decreasing a tiny bit, and then gets stuck. It is just randomly guessing. I think the root of the problem is so you have sparse positive inputs, positive initial weights and a ReLu activation. I suspect that this combina

To tell the truth oneself is only recently involved in webmaster industry, because look around colleagues are more or less in the operator Taobao site, and achieved very good results, the heart is really unable to suppress, so I began to gold in here. Although is the rookie stationmaster, we also need to study the website construction optimization knowledge suitably, and now SEO so fire, basically every webmaster will point skills, we can not be too amateur, so that the psychological price to fi

A project was recently completed with a map search, with a total duration of three months. Keep track of where machine learning is used in the project and the various pits that have been trampled. In general, the project is divided into several parts: First, the training objective function 1. Set up the basic model 2. Add a new layer 3. Freeze Base Layer 4. Compiling the Model 5. Training 6. Save the Model

Recently see Franz Josefoch's paper--"Minimum Error rate Training in statistical machinetranslation". First reading articles feel foggy. It was a bit of a prospect to ask for the cows. By the way, look at the online blog, immediately feel the immediate enlightened. As for this paper, the article on the web with a prawn (click here) is written in great detail. I'm not going to repeat the burden. But to talk about my own understanding. The first questio

ChinaSoftware TestingThe engineer's position is from scratch, and the experience is still insufficient.10Year. Mature software testing theory system is also built only10Years of history. Looking at the rapidly growing computer software companies that are emerging today, the demand and desire for Excellent Software Testing engineers make us have to think about one question: how to conduct and train software testing engineersWork. Many people misunderstand the importance of software testing. Bec

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The source code is running, the experimental process is recorded as follows, for beginners to get started.Today and elder sister to run through, to share the next experience. (Pre-Training network: ImageNet, Training set: PASCAL VOC2007, GPU)First, the entire train and test process is not unique, and the deeper you understand it, the more skilled you are.Come down and get to the point:1.git Clone source cod

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This article mainly refers to the steps in the end of the text, I ran it again, most of the same information, some additions and changes. Caffe provides databases for Mnist, Cifar10, and ImageNet1000, and for Mnist and CIFAR10, data sets are ready to be downloaded and completed by calling code, and ImageNet10 data needs to be downloaded by itself. We can refer to the IMAGENET10 processing to generate the LMDB/LEVELDB data format Caffe needs, and then trainin