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Introduction to Deep Learning for Computer Vision
Created by Stanford and IIT alumni with work experience in Google and Microsoft, this Deep Learning tutorial teaches Artificial Neural Networks, Handwriting Recognition, and Computer Vision.
Deep Learning is an area of Machine Learning that plays a key role in artificial intelligence. It deals with multiple levels of abstraction and representation that help machines make sense of images, text, and sounds. This online Deep Learning tutorial will help you understand the role played by Computer Vision in Deep Learning, specifically handwriting recognition. Deep Learning Networks provide striking solutions to handwritten digit recognition problems and numerous other computer vision problems.
What will you gain from this Deep Learning tutorial?
- An understanding about what artificial neural networks are
- The ability to design and apply digit recognition a simple computer vision use-case
- Interpret the underlying theory of Deep Learning and Computer Vision
- Solid foundation in theoretical knowledge that you will require to master more complex topics in Machine Learning
Prerequisites and Target Audience
You will find it easier to understand this course if you have knowledge of under-graduate level Mathematics, however, it is not a requirement. You will require working knowledge of Python if you want to run the source code that is given.