Deep learning (2017, MIT)

1.Overview

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2.Ch1. Introduction

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3.Ch2. Linear Algebra

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4.Ch3. Probability and Information Theory

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5.Ch4. Numerical Computation for Deep Learning

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6.Rounding error, Underflow, Overflow

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7.Ch5. Machine Learning Basics

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8.Ch6. Deep Feedforward Networks

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