In today’s digital age, with technical constraints and legal regulations constantly increasing, the need for contextualizing content to personalize ads while ensuring user privacy has never been so important. Moreover, advertisers strive to maintain a positive and trustworthy association between their brand and the content in which their ads are displayed. Thus, categorizing text, images…
Vision Transformers (ViT), since their introduction by Dosovitskiy et. al. [reference] in 2020, have dominated the field of Computer Vision, obtaining state-of-the-art performance in image classification first, and later on in other tasks as well. However, unlike other architectures, they are a bit harder to grasp, particularly if you are not already familiar with the Transformer model…
In machine learning, a classifier assigns a class label to data points, such as identifying objects in an image. A Convolutional Neural Network (CNN) is a specialized type of neural network that excels at this task, particularly for image data. Components of a CNN: How CNNs Work: Hyperparameters: Interactive Features: Implementation and Development: CNN Explainer…
