Lecture 23: Introduction to Machine Learning
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Lecture 23: Introduction to Machine Learning
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Lecture 1 Part 1: Introduction and Motivation
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Lecture 1 Part 1: Introduction and Motivation
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Lec 15. Generative Models: Representation Learning Meets Generative Modeling
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Lec 15. Generative Models: Representation Learning Meets Generative Modeling
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Lec 01. Introduction to Deep Learning
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Lec 01. Introduction to Deep Learning
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2: Training Deep NNs (cont.); Introduction to Keras/Tensorflow; Application to Tabular Data
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2: Training Deep NNs (cont.); Introduction to Keras/Tensorflow; Application to Tabular Data
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Lec 18. Transfer Learning: Models
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Lec 18. Transfer Learning: Models
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Lec 19. Transfer Learning: Data
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Lec 19. Transfer Learning: Data
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29:00
PyTorch Tutorial
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Lec 23. Metrized Deep Learning
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1:14:35
Lec 08. Architectures: Transformers
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57:05
1: Introduction to Neural Networks and Deep Learning; Training Deep NNs
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3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch
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4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace
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Lec 09. Hacker's Guide to Deep Learning
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Lec 21. Language Models
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57:53
The Future of MIT Open Education
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17:51
Lecture 1, Part I: Introduction of the Class
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