This course serves as an introduction to neural networks in the context of image recognition. The course introduces the mathematics underlying neural networks and how they work. We will create a Python program that recognises images without the help of any autographed libraries. We will also discuss many advanced concepts like

• Functions and their computational graphs.

• Neural networks

• Conceptually understand the derivative and the gradient.

• Gradient descent and backpropagation.

• The multivariable chain rule.

• Mini-batch gradient descent.

All of this high-end knowledge without spending a penny. Isn’t it a good deal? 

By the end of this course, you will be able to create image recognition applications from scratch.

Have a great learning experience.