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Practical Deep Learning For Coders

Other, , Prof. Jeremy Howard

Updated On 02 Feb, 19

Overview

Learn how to build state of the art models without needing graduate-level mathbut also without dumbing anything down.

This 7-week course is designed for anyone with at least a year of coding experience, and some memory of high-school math. You will start with step onelearning how to get a GPU server online suitable for deep learningand go all the way through to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems.

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Lecture 4: Lesson 4: Deep Learning 2018

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Lecture Details

NB: Please go to http://course.fast.ai to view this video since there is important updated information there. If you have questions, use the forums at http://forums.fast.ai

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.