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.
01h:50m
beginner
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Introduction to the Course
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.
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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.
This Deep Learning tutorial will introduce you to artificial neural networks, the basics of computer vision, and teach you how to build perceptrons, which play an integral role in building complex networks. The course helps you understand the importance of neural networks in artificial intelligence.
You will learn how to install Python and code-along a handwriting recognition program. This course will equip you with the skills to train a neural network in classifying handwritten digits in Python, deciding what training process to use. You will also learn to run the code and check its accuracy.
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Course Objectives
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
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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
An understanding on use-cases for Deep Learning and Computer Vision
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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.
