You can classify using both Tensorflow and Keras.

It depends on you which one you choose. I had done it using Keras and TensorFlow both to see the difference. For me, both looked similar, but TensorFlow was faster than Keras.

Dear Welemhret Welay Baraki ,

This tutorial shows how to classify images of flowers. It creates an image classifier using a keras.Sequential model, and loads data using preprocessing.image_dataset_from_directory. You will gain practical experience with the following concepts:

• Efficiently loading a dataset off disk.
• Identifying overfitting and applying techniques to mitigate it, including data augmentation and Dropout.

This tutorial follows a basic machine learning workflow:

Examine and understand data

Build an input pipeline

Build the model

Train the model

Test the model

Improve the model and repeat the process

https://www.tensorflow.org/tutorials/images/classification

Regards,

Shafagat

In particular `keras` has an amazing code example of this. https://keras.io/examples/vision/image_classification_efficientnet_fine_tuning/

You can check it.

Follow the online content for the Tensorflow tutorial :https://www.tensorflow.org/tutorials/images/classification