Deep Learning for Computer Vision with Tensorflow 2 - Online Course

Deep Learning for Computer Vision with Tensorflow 2 - Online Course

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Deep Learning of application in Computer Vision, specially on tasks Image Classification and Object Detection.

Updated on Sep, 2026

Programming, Data Science, Deep Learning

Duration - 10.5 hours

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This course offers a complete review of the Deep Learning application in Computer Vision , especially on tasks in Image Classification and Object Detection.

The course was entirely written using Google Colaboratory(Colab) with Tensorflow 2.X , to help students who don't have a GPU card in their local system, however, you can follow the course easily if you have one.

We're going to study in detail the following concepts and algorithms:

Many practical applications using famous datasets and sources such as:

In the Object Detection chapter, we'll learn the theory and the application behind the main object detection algorithms doing a journey from the beginnings to the latest state-of-the-art algorithms. You'll be able to use the main algorithms of object detection to develop practical applications.

Some of the content in this Chapter is the following:

The application of deep learning in the computer vision field.

The course is focused on image classification and object detection.

We'll review the main state-of-the-art algorithms.

We'll develop several practical applications such as detecting Covid19 and License Plate Recognition.

Check out the detailed breakdown of what’s inside the course

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