Beginners
Recommendation systems (recommender systems) suggest content based on user preferences and behaviors. This guide explores their types, traditional ML techniques like matrix factorization, and advanced deep learning methods like neural
In this article, we explore the technique of fine-tuning pretrained models on custom datasets.
This article discusses the working of Convolutional Neural Networks on depth for image classification along with diving deeper into the detailed operations of CNN.
In this article, we cover the basics of training neural networks for beginners for an image classification problem.
CenterNet: Object as Points is one of the milestones in the anchor-free (anchorless) object detection algorithm. Anchor-free object detection is more generalizable in other computer vision tasks, e.g., pose estimation,
Imagine you have an image or an audio file which you would like to transfer to a friend. Sending the raw format data could be time-consuming and potentially inefficient, especially