Applications of computer vision are everywhere today, going from Tesla's self-driving cars.
To livestock farmers who can now automatically count the number of animals they have to mobile facial
recognition apps.
And even in the hospitals where the gastroenterologists could make use of computer vision for faster
diagnostics.
At the heart of this computer vision products is advanced deep learning models like the convolutional
neural networks.
And also in more recent times, we've also seen the vision transformers, which make use of the popular
transformer model.
In this course, we shall take you from the beginner level to building quite simple models with TensorFlow
and get into even more complex models and advanced concepts.
So you will not only learn how to build your own models, but also how to implement concepts like transfer
learning.
And then one thing you'll learn how to do is model deployment.
So you'll learn how to build the model and also make sure that it's usable by some user located anywhere
in the planet.
That said, we'll look at applications like human emotions, recognition, object detection, image
segmentation, people counting and image generation.
And so at the end of this course, you'll be able to make use of tools like hug and face and TensorFlow
to solve real world problems.