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[요약정리]Stanford University CS231n. Lecture 03. | Loss Functions and Optimization

1. CONTENTS

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1.1 Table

Velog	Lecture	Description	Video	Slide	Pages
작성중	Lecture01	Introduction to Convolutional Neural Networks for Visual Recognition	video	slide	subtitle
작성중	Lecture02	Image Classification	video	slide	subtitle
작성중	Lecture03	Loss Functions and Optimization	video	slide	subtitle
작성중	Lecture04	Introduction to Neural Networks	video	slide	subtitle
작성중	Lecture05	Convolutional Neural Networks	video	slide	subtitle
작성중	Lecture06	Training Neural Networks I	video	slide	subtitle
작성중	Lecture07	Training Neural Networks II	video	slide	subtitle
작성중	Lecture08	Deep Learning Software	video	slide	subtitle
작성중	Lecture09	CNN Architectures	video	slide	subtitle
작성중	Lecture10	Recurrent Neural Networks	video	slide	subtitle
작성중	Lecture11	Detection and Segmentation	video	slide	subtitle
작성중	Lecture12	Visualizing and Understanding	video	slide	subtitle
작성중	Lecture13	Generative Models	video	slide	subtitle
작성중	Lecture14	Deep Reinforcement Learning	video	slide	subtitle
작성중	Lecture15	Invited Talk: Song Han Efficient Methods and Hardware for Deep Learning	video	slide	subtitle
작성중	Lecture16	Invited Talk: Ian Goodfellow Adversarial Examples and Adversarial Training	video	slide	subtitle

1.2 참고 문서

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