Fashion Products Recommendation CNN Model in Python | Deep Learning Project скачать в хорошем качестве

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 Please subscribe to our channel for more related Videos and Python Machine Learning, Deep learning Projects. Link to Machine Learning Projects in Python    • Machine Learning Projects   Link to Deep Learning Projects in Python    • Deep Learning Projects