Lec 01. Introduction to Deep Learning
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Lec 01. Introduction to Deep Learning
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Lec 04. Architectures: Grids
1:23:57
Lec 04. Architectures: Grids
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Lec 05. Architectures: Graphs
1:21:14
Lec 05. Architectures: Graphs
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PyTorch Tutorial
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PyTorch Tutorial
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Lec 09. Hacker's Guide to Deep Learning
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Lec 09. Hacker's Guide to Deep Learning
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Lec 08. Architectures: Transformers
1:14:35
Lec 08. Architectures: Transformers
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3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch
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3: Deep Learning for Computer Vision – Building Convolutional N…
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1:15:21
Lec 13. Representation Learning: Theory
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1:21:18
Lec 14. Generative Models: Basics
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1:13:28
Lec 10. Architectures: Memory
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1:17:23
Lec 21. Language Models
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1:21:04
Lec 11. Representation Learning: Reconstruction-Based
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1:20:56
Lec 07. Scaling Rules for Optimization
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38:23
Lec 20. Scaling Laws
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1:15:44
Lec 19. Transfer Learning: Data
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53:19
Lecture 01: Why Study Public Finance?
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1:20:58
Lecture 08: Local Public Goods and Fiscal Federalism
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1:09:43
Lecture 21: Taxation and Savings
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1:15:15
Lecture 04: Externalities in Practice II
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1:04:41
Lec 17. Generalization: Out-of-Distribution (OOD)
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1:17:13
Lecture 02: Externalities in Theory
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54:36
Class 1 Video: How Do Computers "Hear" Music?
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1:18:16
Lecture 18: Overview of Taxation and Tax Base, Tax Incidence
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1:18:40
Lecture 22: Wealth Taxation
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17:51
Lecture 1, Part I: Introduction of the Class
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38:29
Lec 1: Introduction to Principles of Microeconomics and Supply & De…
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1:21:16
Lecture 2: Linear Algebra
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4: Deep Learning for Computer Vision – Transfer Learning and Fin…
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Lecture 05: Public Goods Theory, Optimality, and Pricing
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7: Deep Learning for Natural Language – Transformers
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