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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