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[Revised Edition] Deep Learning Computer Vision: The Complete Guide

This course will help you grow into a deep learning-based computer vision expert needed in the field through in-depth theoretical explanations of Object Detection and Segmentation, along with practical examples at a level that can be immediately applied in the industry.

(4.9) 166 reviews

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Level Intermediate

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  • dooleyz3525
Python
Python
Machine Learning(ML)
Machine Learning(ML)
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Deep Learning(DL)
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Computer Vision(CV)
Python
Python
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
Computer Vision(CV)
Computer Vision(CV)
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dooleyz3525๋‹˜์˜ ํ”„๋กœํ•„ ์ด๋ฏธ์ง€
dooleyz3525

I'm sharing a great resource explaining the Keras RetinaNet implementation source code.

hello,

BACK HO KIM has uploaded an excellent document explaining the Keras RetinaNet implementation source code in great detail to the free bulletin board of this lecture.

This is the best material I have ever seen on the internet. I was surprised when I saw it and it was a great stimulus for me.

The relevant information is contained at the address below.

https://www.inflearn.com/chats/222934

If you are interested in implementing One Stage Detector, even if it is not RetinaNet, please hurry and take a look.

I would like to express my deepest gratitude to BACK HO KIM for posting such excellent material on the bulletin board of this lecture.

thank you

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