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If your mouse cursor still works, clicking the Apple icon in the top left corner and selecting Restart will usually unfreeze your MacBook. That being said, if your MacBook Air or MacBook Pro locks up and you’re unable to shut it down normally, you need to hard reset it.

A hard reset is a fast solution and it should return your computer to a normal state. Before you hard reset your MacBook, note that this process won’t wipe your computer’s data, it just reboots the device.

Here are the steps to follow in order to fix your frozen MacBook Air or MacBook Pro.

In order to force restart your MacBook, you need to know where the power button is. On newer MacBook models, the power button is the Touch ID button that’s located in the upper right-hand corner of the computer. On some newer MacBook models, you’ll find the Touch ID button on the Touch Bar’s surface. It’s the button furthest to the right.

On MacBook models with physical F1-F12 keys, it’s located in the upper right-hand corner. If you own an older MacBook with an optical drive, the key doubles as the Eject button.

If your MacBook Air or MacBook Pro stops responding, here’s how to force restart it:

You shouldn’t have to force restart your MacBook regularly as it can make you lose your work. If your MacBook is frequently locking up, you’ll want to check out our guide to fixing common macOS problems. You may even want to get in touch with Apple support.

If your MacBook is freezing up all the time, you update your applications via the App Store, update your Mac’s software, or investigate other potential solutions.

Sometimes the solution is as simple as force closing apps that are hogging resources in the background or otherwise causing your MacBook to freeze.

Those athletes are competing under the name of the “Russian Olympic Committee,” or ROC for short. That's because Russia received a two-year ban from the World Anti-Doping Agency in 2019 for its state-sponsored doping program. Between Dec. 17, 2020, and Dec. 17, 2022, no athlete can represent Russia at the Olympics, Paralympics or World Championships.

The ban was originally set to last four years, but the Court of Arbitration for Sport reduced it to two years.

The years-long doping scheme was first revealed in 2016 by a whistleblower and included at least 15 medal winners from the 2014 Olympics, held in Sochi, Russia.

In 2017, the International Olympic Committee suspended Russia. After an appeal by several Russian athletes who were not linked to the scheme, the Court of Arbitrations for Sport allowed Russian athletes to participate in global competitions as neutral competitors. At the 2018 Winter Olympics in PyeongChang, Russian athletes who passed drug tests competed under the "Olympic Athletes from Russia," or OAR, delegation.

Russian officials have long denied wrongdoing in connection with the case.

As part of the sanctions, ROC team uniforms cannot contain the Russian flag, but are allowed to be based on Russia’s national colors.  If their uniforms say “Russia,” they must also include “neutral athlete” or something equivalent in the same size.

The Russian flag also cannot be flown in an official capacity at the Games and the national anthem can't be played. Any Russian athlete that wins a gold medal during the Olympics will see the Olympic flag raised and hear Russian composer Pyotr Tchaikovsky’s Piano Concerto No. 1 will play at medal ceremonies.

Despite the sanctions and scrutiny, two OAR athletes failed doping tests at the 2018 PyeongChang Olympics and were later punished, including men’s curler Alexander Krushelnitskiy, who failed his test after winning a bronze medal in mixed doubles. He was suspended for four years, and he was stripped of his bronze medal.

The 2022 Games in Beijing will mark the final Olympics that the Russian athletes will have to compete under the “ROC” banner.

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A lot of my friends tell me they have tried using Neural Network model on the data they have been working on and most of the times they don't get the desired accuracy or the performance they wanted.

Lot of new folks getting into this stream think ANN has got all the brains to get the task done. Yes it has but it needs reshaping from your end to see some light at the end of the tunnel.

So, this for folks who want to get the best out of their Neural Network model. This is applicable for raw data as well as on convolutions for Image and video data.

Hera are some very common issues we see with an Neural Network:

-> Sometimes neural networks fail to converge due to low dimensionality.

-> Even a small change in weights can lead to significant change in output. sometimes results may be worse.

-> The gradient may become zero . In this case , weight optimization fails.

-> Data over-fitting.

-> Time complexity is too high. Sometimes algorithm runs for days even on small data set.

-> We get the same output for every input when we predict.

So here's what you can do.

1. Increase hidden Layers

2. Change Activation function

3. Change Activation function in Output layer

4. Increase number of neurons

5. Weight initialization

6. More data

7. Normalizing/Scaling data

8. Change learning algorithm parameters

9. Deep learning for auto feature generation

10. Misc

-> You can try with a different number of epoch and different random seed.

-> Check for over-fitting.

Various parameters like dropout ratio, regularization weight penalties, early stopping, etc;

can be changed while training neural network models.

-> To improve generalization on small noisy data, you can train multiple neural networks