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About this Course

Explore the fundamentals of deep learning and understand its real-world applications. Learn the basics of vector algebra and coding in Python to build simple models. Gain hands-on experience with NumPy and Keras, and test your knowledge through quizzes and coding challenges. This lesson prepares you for further study in deep learning without needing advanced math skills.

Why should you learn deep learning?

Deep learning is cutting edge technology in speech recognition, visual understanding, search ranking, medical and health care, robotics, self-driving cars, and more.

Why should you take this course?

Uniquely low barrier to entry

This course teaches deep learning without assuming advanced knowledge of mathematics. It will help you understand and advance your knowledge of vector algebra behind deep learning and the code to obtain hands-on practice. Apart from these aspects of learning, various quizzes and extensive coding challenges are provided to help test your knowledge.

Understanding of concepts
Understanding of concepts
Frameworks

Understand concepts using framework

We will start with simple maths. Then, we will code in vanilla Python and then learn to build amazing applications using NumPy and Keras library.

What do you need to get started?

To take this course, you need to have coding experience in Python. If you are not comfortable with coding in Python, check out our course: Learn Python from Scratch to revise the basics.