Abhishek Verma

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Context Based QnA Using Google’s State Of Art -PreTrained BERT

Why Transformers? The problems with long-existing sequence models are long-range dependencies, vanishing and exploding gradient is hard to resolve even batch gradient descent when network is large and deep, a large amount of training steps needed, as well

By |2023-01-17T20:09:57+05:3013 April 2020|Comments Off on Context Based QnA Using Google’s State Of Art -PreTrained BERT

Face Recognition Using dlib’s State Of Art ‘face_recognition’

Face Recognition Recognize and manipulate faces from Python or from the command line with the world’s simplest face recognition library. Built using dlib’s state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the

By |2023-01-17T20:10:20+05:3010 April 2020|Comments Off on Face Recognition Using dlib’s State Of Art ‘face_recognition’

Parking Slot Detection using MaskRCNN

Detecting the parking slot occupancy can help us by providing the exact location of the place which is empty for parking and save our time. For this purpose, we can use Image Detection to get the location of

By |2023-01-17T20:10:37+05:3010 April 2020|Comments Off on Parking Slot Detection using MaskRCNN
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