Introduction to Computer Vision with TensorFlow

Introduction to Computer Vision with TensorFlow

In this project, you'll learn to set up the development environment in an IDE, design, compile, train, and evaluate machine learning models, and save and load these models. You'll also write custom callbacks to modify behavior during training. 

You'll experiment with different network layers through a series of exercises. This self-paced lab, conducted in the Google Cloud console, involves creating a computer vision model to recognize clothing items and exploring factors that impact the training model.

💲 Paid to Audit
🕒 Approx. 1 Hour
✏️ Beginner Level
🧾 Certificate Available Upon Completion
🎓 Offered by Google Cloud via Coursera

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