Part - 4 | Train a CNN model | Image Classification using Tensorflow | Complete guide | with Code

Hello friends, in this tutorial series we will understand every aspect of Image Classification using Tensorflow. We will understand the following concepts in this series:

(1) Load image data using the image data loader module of Tensorflow
(2) Create a model using a Model and Sequential class
(3) Train a model developed in step - 2
(4) Transfer learning in brief

Complete playlist:
Introduction - https://youtu.be/XQ1VG14DO94
Data loader - https://youtu.be/6NaxGOxThYY
Create a model - https://youtu.be/tEbITtzFoIA
Simple model training - https://youtu.be/hOiLTPvZKn0
Transfer learning model - https://youtu.be/4uiBjyaAH1c

Useful resources:
(1) Tensorflow API documentation - https://www.tensorflow.org/api_docs/python/tf
(2) Python virtual environment - https://docs.python.org/3/tutorial/venv.html

GitHub repository -
https://github.com/RajKKapadia/Image-Classification-Tensorflow
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