Introduction - Deep Learning

Introduction lecture slides for Chapter 1 of Deep Learning Ian Goodfellow 2016-09-26. Representations Matter APTER 1. Introduction . Cartesian coordinates Polar coordinates y . x r Figure suppose we want to separate ure : Example of di erent representations: (Goodfellow 2016). Depth: Repeated Composition CHAPTER 1. Introduction . Output CAR PERSON ANIMAL. (object identity). 3rd hidden layer (object parts). 2nd hidden layer (corners and contours). 1st hidden layer (edges). Visible layer (input pixels). Figure : Illustration of a deep Learning model.

Introduction Lecture slides for Chapter 1 of Deep Learning www.deeplearningbook.org Ian Goodfellow 2016-09-26 (Goodfellow 2016) ... One solution to this problem is to use machine learning to discover not only the mapping from representation to output but also the representation itself.

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