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1
Intro
2
Motivation
3
ImageNet
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ImageNet Performance
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ImageNet Examples
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Car Driving
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Speech Recognition
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History of Deep Learning
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Data
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Data Processing
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Compute
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Why take this class
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Time for breaks
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Developing the content
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Schedule
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Network Size
Description:
Embark on a whirlwind journey through the fundamentals of AI and deep learning in this introductory lecture by Professor Pieter Abbeel. Explore the revolutionary impact of deep learning across various domains, from image recognition to autonomous driving and speech recognition. Delve into the historical context of deep learning's evolution and understand its key components, including data processing and computational requirements. Gain insights into the course structure, content development process, and the significance of network size in deep learning applications. This lecture sets the stage for a comprehensive exploration of full-stack deep learning, providing a solid foundation for both beginners and experienced practitioners in the field.

Introduction to Deep Learning - Full Stack Deep Learning - March 2019

The Full Stack
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