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Applications of computer vision are everywhere today, going from Tesla's self-driving cars.

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To livestock farmers who can now automatically count the number of animals they have to mobile facial

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recognition apps.

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And even in the hospitals where the gastroenterologists could make use of computer vision for faster

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diagnostics.

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At the heart of this computer vision products is advanced deep learning models like the convolutional

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neural networks.

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And also in more recent times, we've also seen the vision transformers, which make use of the popular

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transformer model.

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In this course, we shall take you from the beginner level to building quite simple models with TensorFlow

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and get into even more complex models and advanced concepts.

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So you will not only learn how to build your own models, but also how to implement concepts like transfer

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learning.

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And then one thing you'll learn how to do is model deployment.

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So you'll learn how to build the model and also make sure that it's usable by some user located anywhere

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in the planet.

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That said, we'll look at applications like human emotions, recognition, object detection, image

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segmentation, people counting and image generation.

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And so at the end of this course, you'll be able to make use of tools like hug and face and TensorFlow

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to solve real world problems.