How to train inception model of tensorflow | tensorflow image classification - (MATLAB full course)

Опубликовано: 21 Февраль 2026
на канале: Hi Tech TIPs
311
5

https://www.udemy.com/course/master-i... Code is for sale: worth 25$, contact me @
https://wa.me/+923400151346
[email protected] Fiverr contact:
https://www.fiverr.com/share/p07G38
https://www.fiverr.com/share/lla0dR
https://www.fiverr.com/share/9bVRwd
https://www.fiverr.com/share/VNxpbB
https://www.fiverr.com/share/aprvdg
https://www.fiverr.com/share/108Q26 This tutorial is to provide you knowledge about how you can train the inception model of tensorflow for your own category of images. This model will classify the test images and will result in a human readable label. The inception model was initially developed by the team of google brain project for the imagNet dataset. This open source model can be used for new category of image after the re-training process. This tutorial will show you how you can retrain the inception model for your own images. Watch this tutorial carefully and follow the steps listed in the pdf. This video is all about building a handwritten digit image classifier in Python in under 40 lines of code (not including spaces and comments). We'll use the popular library TensorFlow to do this. #MatlabFullCourse