AI/ML engineer and a talented technical writer who authors 3 scientific books and more than 45 articles and tutorials up to this date. https://www.linkedin.com/in/ahmedfgad
FollowIn Part 4 of this 4-article series, we will load the saved model again for extracting features from the datasets.
In Part 3 of this 4-article series, we are going to transfer the learning of MobileNet for working with the Fruits360 dataset.
In Part 2 of this 4-article series, we will create a Jupyter notebook and download the Fruits360 dataset using Keras within the Jupyter notebook.
In Part 1 of this 4-article series, we will explore the ML pipeline to highlight the challenges of manual feature extraction.
