Matrix Calculus for Deep Learning

Re:Matrix Calculus for Deep Learning by marrowgari on Tuesday January 30, 2018 @01:19PM (#16267519)

If you're looking at this with the intention of getting started in Deep Learning and feeling overwhelmed by the math then Andrew Ng offers a great course on Coursera that goes over all of the formulas needed to calculate the forward propagation, loss computation, backward propagation, and gradient descent. Highly recommend it for anyone interested in breaking into the field of machine learning.

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Re:Matrix Calculus for Deep Learning by ransom1538 on Tuesday January 30, 2018 @02:32PM (#16268208)

It is also all free on youtube: https://www.youtube.com/watch?v=UzxYlbK2c7E

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Re:Matrix Calculus for Deep Learning by wuliwong on Tuesday January 30, 2018 @02:44PM (#16268315)

They also have it all on Stanford's site with some other information and course materials.

https://see.stanford.edu/Course/CS229

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Re:Matrix Calculus for Deep Learning by marrowgari on Thursday February 01, 2018 @05:08PM (#16286396)

This is great. But I find the advantage of Coursera is that it incorporates quizzes and programming homework into the lectures reinforcing the learning. Also, the material is updated and more relevant to today's ML problems then his 2008 lectures on youtube.

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Re:Matrix Calculus for Deep Learning by ink404 on Tuesday January 30, 2018 @01:45PM (#16267790)

https://www.coursera.org/learn/machine-learning

this one?

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Re:Matrix Calculus for Deep Learning by marrowgari on Thursday February 01, 2018 @05:05PM (#16286373)

this one... https://www.coursera.org/learn/neural-networks-deep-learning...

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Re:Matrix Calculus for Deep Learning by singularity2001 on Tuesday January 30, 2018 @04:23PM (#16269168)

if you want to get started with machine learning you should just start with Keras and do some theory later.

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