Most of the Machine Learning and Deep Learning problems that you solve are conceptualized from the Generative and Discriminative Models. In Machine Learning, one can clearly distinguish between the ...
Consider this, you're in the middle of your work, and then suddenly due to some reason the internet stops working due to some router issue you're informed that it will be fixed in a few hours. So ...
Deep Learning has already surpassed human-level performance on image recognition tasks. On the other hand, in unsupervised learning, Deep Neural networks like Generative Adversarial Networks ( GANs ) ...
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 when the files' ...
The field of computer vision has existed since the late 1960s. Image classification and object detection are some of the oldest problems in computer vision that researchers have tried to solve for ...
Have you ever wondered how robots navigate autonomously, grasp different objects, or avoid collisions while moving? Using stereo vision-based depth estimation is a common method used for such ...
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