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Crowd counting has been an inexact science for decades. Learn about crowd counting algorithms in deep learning and build crowd counting models using python.
An introduction to pytorch and pytorch build neural networks. Get started with pytorch, how it works and learn how to build a neural network.
Build an image classification model in minutes without the need for powerful machines or extensive training. Discover the possibilities of deep learning.
Explore convolutional neural networks in this course. Learn foundational concepts, advanced models, and applications like face recognition.
Face detection is all the rage these days - but can you build a model on a video? Things get tricky when the subject is dynamic - learn all about it here!
Learn about YOLO Framework efficiency in object detection. Understand its functioning, bounding box encoding, IoU, anchor boxes, and Python
A brief introduction to faster R CNN in Python. Learn the practical implementation of faster R CNN algorithms for object detection.
Inception network used for solving image recognition and detection problems. Learn about Inception networks and implementation of googlenet
A complete deep learning tutorial for video analysis using python. This article will help you understand how to use deep learning on video data.
An introduction to face recognition in python. In this article learn about applications of face recognition and its implementation in python with codes.
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