Movie black technology

Chapter 126 Perfect Recognition (

It was dinner time, most people in the base were there, and Chen Shen became the focus of everyone as soon as he walked in.

Only the people in the five laboratories under Shi Yi's hands were calmer.

After all, they now work in the storm cabin every day, and Chen Shen also selectively revealed some news to them before.

They had already been mentally prepared for Crimson Storm.

"Great God, is the new project really going to build such a big mech? I thought the boxer was already big enough."

Just looking for a place to sit down with dinner, a researcher next to him asked.

There were other people sitting on the bar-shaped dining table, and their ears were pricked on one side.For this question, they also want to know the answer.

Chen Shen glanced at them. Like Yang Xing, he is a researcher on the fire-fighting mecha project, except that he is responsible for the mecha structure design.

"Now that the projects are publicly shown, can there be fakes?"

Listening to Chen Shen's confirmation, everyone stopped chewing unconsciously.

"For such a big mecha, how can its structure be designed to satisfy balance and stability..."

Everyone thought about it, and the structural design of their fire-fighting mecha was as complicated as a mess.

If the mecha is magnified ten times, how many researchers must be killed to sacrifice to the heavens to ensure that the mecha will not go wrong?

Not to mention that the big mech also has to meet the 7,000-meter deep diving function. In addition to balance and stability, the overall pressure resistance and airtightness must also reach a perfect level.

There are also life-saving devices, power devices...

Tut tut...

Thinking about it this way, they are even more curious about the true face of the big mecha. If it can be made, it must be an industrial wonder in human history!

The group of people thought about it, put down the chopsticks for eating, and unconsciously began to discuss the structural design of the large mecha, and even used their fingers to draw on the table to simulate the design of the mecha, which was obviously an occupational disease.

Sometimes they asked Chen Shen that their inferences were incorrect...

This is the daily enchantment in the base.

Seeing this scene, Chen Shen quickly finished the bowl of rice, and decided to stay away from these fascinated people. They only knew about research all day long. They were simply flying to the Mediterranean.

Back in his dormitory, Chen Shen had just finished taking a shower, and suddenly he remembered another thing.

During the previous test of the Storm Arm, he took the shot.

Now that the Crimson Storm project has been publicized, it is time to release it, just to maximize the popularity.

He is an old sickle when he shoots!

Karma Leek will retreat if you don't advance, but you can't stop.

I opened my meager, skilfully turned out the video I shot before, and took another look. There was no place to code.

In the entire video, except for a huge robotic arm and its outer armor, there are no extra objects.

Upload directly.

release.

Then Chen Shen put down the phone and sat in front of his computer, continuing the training of neural network algorithms, and by the way, he studied the underlying architecture of artificial intelligence in the system.

The deep neural network algorithm given by the system is much stronger than other similar neural network algorithms in function.

At present, it has shown amazing efficiency and accuracy in image recognition.

Chen Shen previously randomly grabbed a part of the video on the quick sound and showed it to the system neural network. Without any instructions, the neural network learned to recognize various objects autonomously.

For example, animals, humans, and furniture that have appeared in the video.

Up to now, it can perfectly identify more than 20 kinds of common animals on the Internet, whether dynamic or static. According to the results detected so far, the recognition error rate has been reduced to zero.

Chen Shen also tried to manually intercept the waist part from several cat pictures. As a result, the system neural network still accurately recognized that the picture belongs to the waist of the cat instead of the leopard or the leopard. Tiger's waist.

Sometimes people don’t recognize such pictures.

Similar experiments have been done by various large companies in the industry, but this is still an amazing achievement.

You know, the number of videos he showed to the neural network is only about 100,000, and the number of cats or other animals in these videos is even less.

In other words, the system neural network can already recognize a certain object perfectly after only a very small amount of training.

For other neural networks, if you want to achieve close results, you need to build a huge database and a huge neural network, so that it can be trained and learned at least billions of times.

People upload pictures and videos on various network disks, as well as various large-scale live broadcast websites, hidden behind a deep neural network that is scanning "learning", monitoring video images and barrage in real time to determine illegal content.

However, even after so many studies, most of the neural network image recognition effects in the industry are still touching, and it is still far from the 100% accuracy of the system neural network.

Of course, the system neural network is not without its shortcomings, or it is not a shortcoming.

That is, with the running time, it needs more and more server resources, and now his computer is a bit too big.

"It's time to equip it with a server." Chen Shen opened a bottle of Happy Water, checked the performance of various servers on the Internet, and quickly matched one of them.

After sending the link and requirements to Wang Qian, he became the shopkeeper.

And at this moment.

Chow Tai Fook, who had returned to school from home, was lying on the bed in the dormitory, scanning the news on his mobile phone.

In the dormitory, his eldest son Chen Peng was practicing a ball-free backward jumper, and would take off from time to time, throwing the air ball in his hand.

"Fu'er, have you heard about the big mecha recently?" Chen Peng took a break and suddenly said.

Chow Tai Fook raised his head and glanced at him, "Of course I heard, I'm watching relevant news now."

"It's said on the Internet that this kind of big mecha can't be built, and I'm a little bit murmured in my heart, do you think such a big mech is unrealistic?"

When I first heard about this project, Chow Tai Fook was very happy as a mecha fan. However, after looking at the comments on the Internet, he increasingly felt that this project was not very reliable?

He looked at the various formulas and theorems listed by those on the Internet, and set the death penalty for this project on paper.

It's okay for one person to say that, but it makes sense for a hundred people to say that. Three people become tigers.

And this is not only their domestic, but domestically and internationally.

Many foreign university professors have stepped forward and used various methods to calculate the difficulty of manufacturing this large mecha, and the final conclusions are almost impossible.

Chen Peng started to make a fall-back jumper again, and said, "Of course it's unrealistic. If you use your brain to think about it, you all know how to make such a big mecha now?"

However, his remarks did not receive a response from Chow Tai Fook for a long time. He stopped his jumper and looked at Chow Tai Fook strangely.

But he saw him looking at his mobile phone dumbfounded.

"Fu'er, what are you looking at?"

Chow Tai Fook turned the phone and showed him the screen, "Son Peng, who said that a big mecha can't be made, what do you think this is?"

I saw on the screen at this time, a huge red robotic arm was making a fist smoothly.

Take a look at the account that posted the video-[Mecha Understand King-Chen Shen]

For an instant, Chen Peng was also stunned.