ALEXANDRA HORVATH VS. RIKI LINDHOME
Not my intention to put these two actresses in competition, but I just came across these two videos and I couldn't help but make comparisons. One's Alexandra Horvath, with a pretty short career according to IMDB...
... and the other's Riki Lindhome, an American actress ans singer who's starred in many movies and TV shows with supporting roles. I remember her in "The Big Bang Theory" trying to pick up Dr. Sheldon Cooper.
I know... comparisons are odious... I already said it wasn't my intention... but swear you didn't think "what a difference". Swear it!
And today, on "Pretty, smoking hot girls and their Instagram accounts", Sofia Jamora.
# instagram.com/sofiajamora/
YOUR FACE LOOKS FAMILIARAny 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
Extreme paragliding.