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OCR deep learning
In the field of OCR, deep learning is very important. It can make OCR more powerful, to adapt to a variety of text types. Can enhance the overall recognition rate of the overall. OCR image processing, the more it will become more and more powerful. With the accumulation of data is not short, the recognition ability has been preserved.
These two days of the fire is believed to have known, Li Shishi war Alfa dog, man-machine war. And then all kinds of panic, the robot will rule the human, if you think so, I can only say that you are too naive.
We come to talk about Alfa, so he has a strong computing support, seemingly back end has more than 1000 CPU for large operations. In fact, scientists are the first to write a variety of powerful algorithms, Alfa dog's wisdom, in fact, just a number of scientists wisdom. This is what it is often said that the depth of learning.
Deep learning is also very important in the OCR field. It can make OCR more powerful, adapt to various text types and so on. Can enhance the overall recognition rate of the overall. OCR image processing, the more it will become more and more powerful. With the accumulation of data is not short, the ability to identify are preserved.
In fact, sub ah deep learning areas, the most difficult is not the technology, but also the data obtained. If there is not enough data, it is difficult to make OCR strong.
I think the next few years, with the development of cloud computing, the depth of learning from us closer. With the accumulation of the original data, users more OCR manufacturer, in depth study of data accumulation of recognition can will throw off the opponent several grades. It is difficult to predict the future. At present, we are interested in finance, insurance, securities and other industries use OCR Products, most of them by using the SDK, the environment a OCR manufacturers want to do depth study of OCR is less time, because it is difficult to accumulate data.
The future of API OCR may be free, because the profit point may not be on the product, but in the value of traffic and big data analysis. In fact, at present, such as Baidu giant also has just begun layout, the depth of learning has just started. But for Baidu to a lot of help.
At present, deep learning leader is Google, has been leading many tiny but adventitious quantity. We have to admit the gap. But I don't think the domestic enterprises are not aware of their importance. But the current time is still immature.
But we have begun to learn the layout depth collar. We believe that the future of OCR technology to identify the ability will be a very big upgrade, the application of the field will be more and more widely. Can identify the species will be more and more.
We come to talk about Alfa, so he has a strong computing support, seemingly back end has more than 1000 CPU for large operations. In fact, scientists are the first to write a variety of powerful algorithms, Alfa dog's wisdom, in fact, just a number of scientists wisdom. This is what it is often said that the depth of learning.
Deep learning is also very important in the OCR field. It can make OCR more powerful, adapt to various text types and so on. Can enhance the overall recognition rate of the overall. OCR image processing, the more it will become more and more powerful. With the accumulation of data is not short, the ability to identify are preserved.
In fact, sub ah deep learning areas, the most difficult is not the technology, but also the data obtained. If there is not enough data, it is difficult to make OCR strong.
I think the next few years, with the development of cloud computing, the depth of learning from us closer. With the accumulation of the original data, users more OCR manufacturer, in depth study of data accumulation of recognition can will throw off the opponent several grades. It is difficult to predict the future. At present, we are interested in finance, insurance, securities and other industries use OCR Products, most of them by using the SDK, the environment a OCR manufacturers want to do depth study of OCR is less time, because it is difficult to accumulate data.
The future of API OCR may be free, because the profit point may not be on the product, but in the value of traffic and big data analysis. In fact, at present, such as Baidu giant also has just begun layout, the depth of learning has just started. But for Baidu to a lot of help.
At present, deep learning leader is Google, has been leading many tiny but adventitious quantity. We have to admit the gap. But I don't think the domestic enterprises are not aware of their importance. But the current time is still immature.
But we have begun to learn the layout depth collar. We believe that the future of OCR technology to identify the ability will be a very big upgrade, the application of the field will be more and more widely. Can identify the species will be more and more.