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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 Cou
by marrowgari 9y ago
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.
- ink404 9y agohttps://www.coursera.org/learn/machine-learning https://www.coursera.org/learn/machine-learning this one?
- marrowgari 9y agothis one... https://www.coursera.org/learn/neural-networks-deep-learning/home/welcome https://www.coursera.org/learn/neural-networks-deep-learning...
- ransom1538 9y agoIt is also all free on youtube: https://www.youtube.com/watch?v=UzxYlbK2c7E https://www.youtube.com/watch?v=UzxYlbK2c7E
- wuliwong 9y agoThey also have it all on Stanford's site with some other information and course materials. https://see.stanford.edu/Course/CS229 https://see.stanford.edu/Course/CS229
- marrowgari 9y agoThis 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.
- singularity2001 9y agoif you want to get started with machine learning you should just start with Keras and do some theory later.