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Published on 2024/02/27

YOUR FACE LOOKS FAMILIAR

Any resemblance to reality is the result of chance and a process called "supervised learning," where labeled image datasets are used, which can come from various sources such as public databases, online images, or even manually created through human labeling.

These labeled images are used to train an AI model, such as a Convolutional Neural Network (CNN). During training, the model learns to recognize patterns and features in the images that are associated with the corresponding labels. This is done by adjusting the weights and internal parameters of the model to minimize the difference between the model's predictions and the actual labels of the images in the training dataset.

Once the model has been successfully trained, it can be used to perform various image-related tasks such as classification, object detection, segmentation, image generation, among others. When a new image is fed into the model, it makes predictions about what the image contains based on what it has learned during training with the labeled dataset.
If the AI makes mistakes, these can be corrected with additional feedback and retraining of the model.







































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Extreme paragliding.




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THE NUDES OF DEMI MOORE AND MARGARET QUALLEY

A few weeks ago, a clip from the movie The Substance started circulating, showing Demi Moore naked in front of a mirror. I didn’t want to share it because, honestly, Demi hasn’t aged well with all the cosmetic work she’s had done. Aside from her face, her current breasts are a disaster, and I didn’t want to ruin the image you might have of her, like I did, from movies like Striptease, Ghost, or even G.I. Jane. So, what happened? Well, now there’s also a scene of Margaret Qualley getting naked, and that one is definitely worth sharing. So, since I’m sharing one, I feel obligated to share the other as well.



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A tribute to hikers and campers who truly embrace nature.






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POST-CHRISTMAS HANGOVER

Hearty meals, arteries bursting with sweets, relatives you can't stand... Time to detox a bit from Christmas and get ready for the next event: New Year's Eve. Take a breath; this is not over yet.




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For Apple users
You might have noticed that when attempting to join our Telegram Channel you get a message that flags our content as sensitive content, which ends up not letting you see anything; this means you have the parental control activated.
This means you have to go to the web version of Telegram https://web.telegram.org and log in, if you are not already. In the settings, in the "Privacy" section, find the option "Sensitive content" and activate "Disable filtering". As soon as you do, the Settings will automatically sync with the rest of your devices, including the iOS and macOS versions of the App Store.
From there you will be able to enter all the Adult Channels.





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Cats hate Christmas.




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THE NEW AND REVAMPED KATY PERRY

There was a time when Katy Perry was revered on this site. It was the era when Katy was in her prime, before being absorbed by feminism and getting pregnant. A time when we woke up every day hoping that something of hers would leak in the famous fappening. But no luck.
After all that, we stopped paying attention to her and keeping track, until now. It seems that now Katy is making a comeback. She isn't quite what she used to be but still retains her essence. Let's hope this goes further.



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The slow motion of the day.






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MAD MAX

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The truth is, the new Mad Max movie created entirely by Artificial Intelligence looks promising. I can't wait to see it.



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It's never too late to take an interest in the world of fashion.




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YOUR FACE LOOKS FAMILIAR

Any resemblance to reality is the result of chance and a process called "supervised learning," where labeled image datasets are used, which can come from various sources such as public databases, online images, or even manually created through human labeling.

These labeled images are used to train an AI model, such as a Convolutional Neural Network (CNN). During training, the model learns to recognize patterns and features in the images that are associated with the corresponding labels. This is done by adjusting the weights and internal parameters of the model to minimize the difference between the model's predictions and the actual labels of the images in the training dataset.

Once the model has been successfully trained, it can be used to perform various image-related tasks such as classification, object detection, segmentation, image generation, among others. When a new image is fed into the model, it makes predictions about what the image contains based on what it has learned during training with the labeled dataset.
If the AI makes mistakes, these can be corrected with additional feedback and retraining of the model.



# See images




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Extreme paragliding.




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(Clicking on these links daily you support ALRNCN's work. They're collaborators or sponsors and, by visiting their sites, they like us even more)








WHAT I LIKE MOST ABOUT AI

There are so many possibilities that Artificial Intelligence is offering us, so many, that if I had to choose just one, among all its functions, including saving lives or improving our species to previously unimaginable levels, I would undoubtedly choose Undress AI



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