Practical Deep Learning For Coders
Other, , Prof. Jeremy Howard
Updated On 02 Feb, 19
Other, , Prof. Jeremy Howard
Updated On 02 Feb, 19
Learn how to build state of the art models without needing graduate-level mathbut also without dumbing anything down.
4.1 ( 11 )
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We complete our work from the previous lesson on tabular/structured, time-series data, and learn about how to avoid overfitting by using dropout regularization. We then introduce natural language processing with recurrent neural networks, and start work on a language model.
Sam
Sep 12, 2018
Excellent course helped me understand topic that i couldn't while attendinfg my college.
Dembe
March 29, 2019
Great course. Thank you very much.