Mining similar to VRC
the first one is: network chain
the team that makes this network chain is very reliable. There are special personnel in their official group to solve the problems in the use of procts, and they will listen to the suggestions of users to optimize the procts. Now I hold more than 5000 RMTs of them, which can't be traded yet. The official saying is to let contacts generate value and assign value to RMTs. I feel most relieved that the government has not used the practice of private fund to make air currency. At present, whether RMT is used for trading or trading is still unclear. I hope to trade first and then consume slowly
the second one is gongxinbao
gongxinbao has the support of Chinese enterprises and the endorsement of Internet giants, so there are quite a lot of people going to Bullock city for mining. According to the white paper of gongxinbao, they will build a public blockchain to support the development of applications, while GXS is the token on this chain, with a total circulation of 100 million and a current circulation of 60%, ranking 83rd in market value
the third is: Netease star
star is a mobile phone mining software launched by Netease, and the token "black diamond" proced by the star can only be circulated in the Netease system. According to personal analysis, the mode is to reverse the flow of other Netease procts through black diamonds, such as Netease cloud music, Netease classroom, etc. At present, black diamond has not been listed on the stock exchange. The way of consumption is the auction of Netease strictly selected procts. As of the time when I answered the question, only one auction was held. But Netease brand, I still like, although not necessarily able to cash, hold it does not matter.
because those who come in after mobile phone mining will be cut leeks
precautions:
1. In the past two years, various myths about blockchain "overnight wealth" have been constantly staged, and "mining" cryptocurrency has become a new trend of wealth, and mobile phone mining is becoming more and more popular
2. There will be special mining machines for real mining. After all, every mining machine is not cheap now. Mobile phone automatic mining can be obtained at a very low price. What you dig is not bitcoin. Basically, the counterfeit coin you send is not worth money. At that time, you will still be cut leeks
English abbreviation: VRC
full name in Chinese: Virtual Resource Center
full name in English: Virtual Resource Center
at present, VRC virtual currency can be invested, registered and mined for free. A large number of players buy it at a high price. The supply exceeds the demand. The price you pay is nothing more than to register an account and start the miner to mine automatically. If you do not spend money to buy and sell only mines, your effort is to register an account free of charge, and then sell it. Alipay will arrive immediately without any investment or promotion. It can dig hundreds of coins a year, and if you earn 100 yuan a year, you will earn tens of thousands of yuan. So you can invest
extended materials:
- after CNN published. Of course: from clarifai's valuation, let's talk about depth theory machine vision x pattern recognition. The results we submitted in Google this year have greatly improved compared with last year. Last year, with decaf /, the input features of the last line SVM ranged from 160K to 260K. It just learned some scenes: personally, the better the network, the more interesting the detection should be after ilsvrc2013, NEC labs obtained the crown of ilsvrc by spark sift + pyramid pooling. Below. And then it's strange why it took you so long
the result is. In addition, it is mainly to promote an open source framework. We can use many underlying features, but at the same time, it may bring the effect of overfitting
The classification model ofGoogle and VGg is not very different from the traditional CNN model in principle. The pipeline we use is also: training time: all kinds of data segmentation (clipping, different sizes, brightness adjustment, saturation, contrast, color deviation), clipping into CNN model, softmax, BackProp
test time: try to make the test data into various kinds of aggregating (clipping, different sizes), and then continue to average the results of the test data on different training models. This year's results seem to be that the deeper the model, the better (VGg's results are also their deepest model on the paper revised in December, which works best)
it's virtual reality currency
let's see what others say.
such as VRC
VRC instry benchmark
ID 400823