Fashion Products Recommendation CNN Model in Python | Deep Learning Project
In this video, explained about Fashion Products Recommendation CNN Model in Python.
In This video, take 44k images as dataset and Extracted features from all these images with ResNet50 Model. After Extracting Features, data feed to Neighbours Algorithm to find similar images with help of Euclidean distance in Nearest Neighbors.
Link to Dataset - https://www.kaggle.com/paramaggarwal/...
Link to Code - https://drive.google.com/file/d/1tUHt...
00:00 - 00:23 - Intro
00:23 - 02:00 - Demo
02:00 - 03:45 - Decoding CNN Model
03:45 - 05:00 - Input Dataset
05:00 - 06:13 - Installing Libraries
06:14 - 12:15 - Extracting Images File Names
12:15 - 15:47 - ResNet50 Model
15:47 - 29:07 - Extracting Features From Images
29:07 - 30:25 - Nearest Neighbors Algo
30:25 - 36:33 - Predicting Recommended Images
36:33 - 49:17 - Deploying it As Web App
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Watch video Fashion Products Recommendation CNN Model in Python | Deep Learning Project online without registration, duration hours minute second in high quality. This video was added by user KothaEd 02 February 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 8,59 once and liked it 15 people.