Deep learning and mining

1. The specific effect of

1. is subject to the actual operation situation,

2. the operation effect of different configurations is different

2. It is recommended that you replace the motherboard battery to clean the st of the computer. If you can't, you can go to the computer city near your home and ask the master there to do it for you. The asking price is from 50 yuan
the blue screen and buzzing sound of the computer are related to the improper operation before you shut down ZD? For example: playing games, watching videos, operating big things, using the computer for a long time caused by the card, right? Or download the inappropriate things, or delete the system files, or power off, the fault will not happen for no reason, right
press the power button to turn on and off the machine repeatedly, and try to put it on for a period of time. If you can't, just refit the system. If you can't refit the system yourself, go to the maintenance department and find someone to help you
as long as you pay attention to your computer's not getting stuck, blue screen and sudden shutdown, it won't be like this when you turn on your computer.

3. If the software has mining function, it will damage the graphics card

4. A few thousand yuan graphics card is enough
this problem is actually determined by the value of your actual task. If you have millions of project funds and you can evaluate the high efficiency of using technology, then hundreds of thousands of devices are cost-effective,
but if you only study or do shallow applications, Then it is not recommended that you consider such expensive devices.
cloud computing is also a wrong way. In the future, a lot of computing may be completed in the form of cloud computing payment. Now many cloud platforms have sold deep learning computing power. You can pay attention to it. In short, you don't have to spend hundreds of thousands to buy devices now

5. There will be no impact
it is mainly CPU operation and memory access, and the impact of these two operations on computer life can be ignored
the working life of CPU and memory is quite long. Under medium load, it is no problem even if it works continuously for ten years.

6. How do you know that Tomcat server is out of memory? Just look at the content displayed on the command line of CMD. E is memory overflow. Find the Tomcat path and open Catalina. Sh

with an editor. After saving, restart the Tomcat server. It should be normal at this time. If you still prompt for memory overflow, It can only be the following case: another case of

memory overflow is that the computer memory is not enough! This situation is very likely to happen, when there is a memory overflow, you can check it

this kind of computer has not enough memory, so we can only suggest that you add a memory mole to the computer, and delete some programs without adding it, so as to clean up the computer.

7. The architecture of GPU is very different from CPU. First of all, GPU is not multifunctional. Second, unlike the number of single digit cores of consumer CPUs, consumer GPUs usually have thousands of cores - especially suitable for large data sets. At the beginning of design, GPU has only one purpose: maximizing parallel computing. Each generation of process rection directly leads to more cores (Moore's law is more obvious for GPUs), which means that GPUs have about 40% performance improvement every year
GPU is suitable for deep learning for three reasons (in order of importance): high bandwidth memory; Memory access latency hiding in multithreading parallel; A large number of fast and adjustable registers and L1 cache
in deep learning, one of the biggest problems of using neural network training is the training speed. Especially for deep learning, too many parameters will consume a lot of time. In the process of neural network training, the most operation is about matrix operation. At this time, GPU is used to process graphics, But because of its high efficiency in dealing with matrix calculation, it is applied to deep learning.

8.

With the rapid development of science and technology, intelligent devices will be a development direction. In fact, the intelligent devices we think don't have the ability to learn like us. They discover the secrets of learning through countless pictures and videos, and then graally develop into intelligent devices, among which deep learning is the most well-known word, But many people don't know what deep learning is? How to keep deep learning? In fact, simply speaking, it is the deep mining of computer chips, which can make the chips work for a long time to maintain deep learning

here, we can see that mining personnel usually use graphics cards to mine, which can not be done by one graphics card. We need to make a lot of graphics cards into a studio to continuously mine at the same time, but it also consumes the life of the chip. Generally, the life of such graphics cards can not be guaranteed. It's a digression, and it's not recommended that people who understand computers buy Mining cards, Although it's cheap, there's no guarantee. Maybe one day when you play games, you'll suddenly hang up. There's no maintenance. Don't be greedy for such a small price

9. Intel (R) HD graphics is an integrated graphics card, which runs on CPU instead of GPU. Can Intel (R) HD graphics run deep learning with GPU?

10. Description, installation, no impact on the computer. If you run these, it's like mining. So if you run with high load for a long time, the computer hardware will age faster
if you don't know, please take it if you are satisfied.