Introduction to Deep Learning: How to make your

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Introduction to Deep Learning: How to make your own deep learning framework Ryota Tomioka (ryotomicrosoft.com) MSR Summer School 2 July 2018 Agenda This lecture covers Introduction to machine learning (keywords: model, training, inference,

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Introduction to Deep Learning: How to make your own deep learning framework Ryota Tomioka (ryoto@microsoft.com)

MSR Summer School
2 July 2018<br>
02
Agenda This lecture covers
Introduction to machine learning (keywords: model, training, inference, stochastic gradient descent, overfitting)
How to compute the gradient (keywords: backpropagation, multi-layer perceptrons, activation function)<br>
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What is Machine Learning (ML)? The goal of ML is to learn from data ---->
Technically, combines statistics and computational tools (optimization)
Example (supervised learning) tasks Cat or Dog Image recognition / classification Model<br>