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Some primary data of Python.(Supplemental “Crash Course” assets are supplied to overview/be taught Python.) Some fundamentals data of Numpy.(Supplemental “Crash Course” assets to overview/be taught Numpy.) Some highschool precalculus. Course Period: three Hours
Course Teacher: Lengthy Nguyen
That is an introduction to Neural Networks. The course explains the mathematics behind Neural Networks within the context of picture recognition. By the top of the course, we could have written a program in Python that acknowledges pictures with out utilizing any autograd libraries. The one prerequisite is a few highschool precalculus. Though the prerequisite is minimal, we are going to focus on many superior subjects together with:
1) capabilities and their computational graphs.
2) neural networks
three) conceptually perceive the spinoff and the gradient.
four) gradient descent and backpropagation
5) the multivariable chain rule
6) mini-batch gradient descent
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Who this course is for:
Newbie Builders who want to perceive Neural Networks.
Any math fanatic who needs to know how matrix multiplication and the exponential perform are the one two capabilities wanted to acknowledge pictures!
Any scholar who needs to see one of the vital helpful and highly effective software of highschool math!