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Huang Renfan, who proved himself in Europe, is also interested in Inter Milan and Rangers.

Huang Renfan, who proved himself in Europe, is also interested in Inter Milan and Rangers.

European teams are paying more and more attention to Huang Renfan.

Huang Renfan is a type player with a large amount of activities and accurate shooting, which has become the vitality of the team. Born in 1996, he made his mark in Daejeon Citizen Team, and grew up step by step after Vancouver White Hat Team and Rubin Kazan. Then he moved to Olympiacos in Greece before the 2022-23 season.

Then through the world cup, it grew to another level. Ren Huang Fan Ceng is the main midfielder of the Korean national team led by head coach Paolo Vento. A large number of activities, building capacity, and watching the game have also been fully exerted on the world stage, and they are active as the protagonists of the top 16 Korean companies.

This season, he is also the core midfielder of the team Olympiacos. In the 2022-23 season, Huang Renfan won the trust of head coach Mitchell in 32 games, 3 goals and 4 assists in the Greek League. Although it is not Jose now, but the coaching system has changed, it still takes the core as the core. Huang Renfan also continues to be active in Europe and is associated with many clubs. In Italy, Inter Milan have been linked together. Huang Renfan of the Greek media "Temporary Gazzetta" has attracted the attention of many people in Inter Milan. It is said that before the new season, he was selected into the signing list of Inter Milan.

Inter Milan’s interest has continued. Since January this year, Inter Milan has sent scouts to Greece to observe Huang Yinfan. It is reported that Huang Yinfan has entered the next transfer market.

Following Inter Milan, Rangers have recently been linked with Huang Renfan. "Rangers can compete with Inter Milan for South Korean national team player Huang Renfan," said Rangers News, which reported the news of Rangers.

However, it is also predicted that it is difficult for Rangers to compete with Inter Milan. "Wanderers News" explained: "Whether Rangers can compete with Inter Milan, which entered the UEFA Champions League (UCL) final in the transfer market, and whether they can win in the end is still unknown." Inter Milan beat AC Milan 1-0 at 4 am (Korea time) on the 17th and entered the Champions League final.

Premier League -18-year-old Ferguson double-sounded and three-smoked assists+Zhongzhu Brighton 3-1 saints locked in European qualification

Live on May 21st, in the 37th round of Premier League, Brighton played against Southampton at home. In the first half of this game, Ferguson, an 18-year-old teenager from Brighton, double-rang, sent three assists and a center post, and Brighton led 2-0 at half-time. In the second half, each team scored a goal, and Brighton finally beat Southampton 3-1 at home, which sealed the qualification for next season’s European War.

[Key Events of Competition]

In the 29th minute, Ivan Ferguson, an 18-year-old teenager from Brighton, broke into the restricted area and scored a low goal. Brighton 1-0 Southampton.

Goal playback

In the 40th minute of the game, Sanxun crossed the restricted area after breaking through the sidewalk, and young Ferguson scored twice again. Brighton 2-0 Southampton.

Goal playback

In the 58th minute of the game, Southampton pulled back a goal and El Yunusi headed the goal. Brighton 2-1 Southampton.

Goal playback

In the 69th minute of the game, Gross faced the defenders in the restricted area and volleyed once again to expand the score for Brighton. Brighton leads 3-1.

Goal playback

[Moment of Competition Focus]

In the 8 th minute of the game, Sanxun hit the door in the restricted area and missed slightly.

In the 21st minute of the game, Sanxun steals from the frontcourt and shoots the center post.

In the 62nd minute, Walcott scored, but the offside was cancelled.

In the end, Brighton beat Southampton 3-1. Lock in next season’s European qualification.

Infrastructure for training AI to solve common problems

In order to train artificial intelligence models that can solve common problems, infrastructure is needed to provide support. These infrastructures are usually composed of hardware, software and tools to improve the efficiency and accuracy of model training. This article will introduce the infrastructure for training AI to solve common problems.

I. Hardware infrastructure

When training artificial intelligence models, it is usually necessary to use high-performance computing hardware to provide support. The following are several common hardware infrastructures:

  1. CPU: The central processing unit (CPU) is a general-purpose computing hardware, which can be used to run various types of software, including artificial intelligence models. Although the performance of CPU is relatively low, it is still useful in training small models or debugging.

  2. GPU: A graphics processor is a special computing hardware, which is usually used to process images and videos. Because of its highly parallel structure, GPU can provide higher computing performance than CPU when training artificial intelligence models, so it is widely used.

  3. TPU: Tensor processor is a kind of hardware specially used for artificial intelligence computing, developed by Google. The performance of TPU is higher than that of GPU, and it is suitable for large-scale artificial intelligence model training and reasoning.

Second, the software infrastructure

In addition to hardware infrastructure, some software tools are needed to support the training of artificial intelligence model. The following are some common software infrastructures:

  1. Operating system: Artificial intelligence models usually need to run on an operating system, such as Linux, Windows or macOS.

  2. Development environment: Development environment usually includes programming language, editor and integrated development environment (IDE) for writing and testing artificial intelligence models. Common development environments include Python, TensorFlow, PyTorch and Jupyter Notebook.

  3. Frames and libraries: Frames and libraries provide some common artificial intelligence model algorithms and data processing tools, making model development and training more convenient. Common frameworks and libraries include TensorFlow, PyTorch, Keras and Scikit-Learn.

Third, the tool infrastructure

In addition to the hardware and software infrastructure, some tools are needed to support the training of artificial intelligence models. The following are several common tool infrastructures:

Dataset tool: Dataset tool is used to process and prepare training datasets, such as data cleaning, preprocessing, format conversion, etc. Common data set tools include Pandas, NumPy and SciPy.

2 Visualization tools: Visualization tools are used to visualize the training process and results to help users better understand the performance and behavior of the model. Common visualization tools include Matplotlib, Seaborn and Plotly.

Automatic parameter tuning tool: The automatic parameter tuning tool is used to optimize the parameters of the model to improve the performance and accuracy of the model. Common automatic parameter tuning tools include Optuna, Hyperopt and GridSearchCV.

In short, training artificial intelligence models to solve common problems requires the use of a variety of infrastructures, including hardware, software and tools. These infrastructures are designed to improve the efficiency and accuracy of model training, so that the model can better solve various practical problems. In practical application, users need to choose the appropriate infrastructure according to specific requirements and data characteristics, and design and implement it accordingly.

5-3！ 3-1！ Football is exciting for one night, Bayern dedicates to the goal war, and Chelsea welcomes the three-game winning streak!

On March 12th, 2023, Beijing time, European football events continued to compete. Bayern Munich beat augsburg 5-3 in the 24th round of Bundesliga and Chelsea beat leicester city 3-1 in the 27th round of Premier League. Next, let’s take a look at the simple battle reports of the two games.

Bayern 5-3 augsburg

Less than 2 minutes after the start of the game, Berisha caught the ball, turned around and stopped, and shot the goal directly. augsburg scored a dream start. In the 15th minute, Cancelo took the ball to the penalty area and made a feint to the defender. He flew into the far corner and scored the first goal of Bayern’s career. Just four minutes later, Bayern’s free kick went to the penalty area and there was chaos. The barb in the horse kicked the ball to the door and assisted pawar to break the goal and succeeded in overtaking.

In the 35th minute, Bayern’s corner kick flew to the goal and was saved. pawar seized the opportunity to shoot the ball from the volley and scored twice. Near the half-time, Ma put in a catch shot and was blocked by the goalkeeper. Sane followed up and made up the shot. Bayern led 4-1 and completely turned the situation around. In the second half, Yi Bian pushed the goal in the war horse and it was blown offside. Then Driget fouled the penalty area and Berisha took a penalty to help augsburg pull back a goal.

In the 74th minute, Cancelo took the ball from the side to observe the defensive cross. Alfonso followed up with the outflanking and shot to break the goal. In stoppage time, augsburg launched a counterattack. Vargas took the ball from the side and quickly broke through the bottom and swept the middle to assist Cardona to tackle the goal. In the end, Bayern 5-3 reversed the opponent and dedicated a goal war.

Chelsea 3-1 leicester city

In the 11th minute, coulibaly turned around with the ball and passed it to the middle. Chilwell volleyed the ball and the Blues took the lead with a quick goal. Then Felix hit the column with a single-handed shot, and then he pushed the shot in front of the door. Unfortunately, it was judged that offside was invalid after VAR marking, which was not very good luck. Unexpectedly, in the 39th minute, Dhaka scored a world wave directly from the periphery, and leicester city successfully equalized the score.

Near the end of half-time, Madison’s free kick directly hit Fofana’s arm. The referee said through VAR video that there was no problem. In the first half stoppage time, Enzo subtly picked up the pass and assisted Havertz, then inserted a clever shot to break the goal, and the Blues took the lead again. In the 78th minute of the second half, Havertz passed the header to Moudrek and ferried it to the middle. kovacic volleyed a shot to seal the victory. Faith was shown a yellow card for a tackle, and two yellows turned into one red and was sent off. In the end, Chelsea beat leicester city 3-1 and won three consecutive games.