Deep Learning681 Videos

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01:22:34

11-785 Spring 23 Lecture 15: Recurrent Networks – Part 3

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31:20

Recitation 9: CTC and Beam Search

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01:30:24

11-785 Spring 23 Lecture 3: Sequence to Sequence Model CTC

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01:25:15

11-785 Spring 23 Lecture 14: Stability and Memory, LSTMs

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01:28:22

11-785 Spring 23 Lecture 13: Time Series and Recurrent Networks

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30:56

11-785 Spring 2023 Recitation 7: CNNs: Verification, Code

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01:26:16

11-785 Spring 23 Lecture 9: Shift invariance and Convolutional Neural Networks

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01:07:55

11-785 Introduction to Deep Learning, 2023 Spring: Homework 1 Hackathon 1/2

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01:21:44

11-785 Spring 23 Lecture 12 Convolution Neural Networks IV

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54:21

11-785 Spring 2023 Recitation 6: CNNs: Classification

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48:53

11-785 Introduction to Deep Learning, 2023 Spring: Homework 2 Bootcamp

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01:07:36

11-785 Spring 2023 Recitation 3: Autodiff and backprop

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01:21:10

11-785 Spring 23 Lecture 11: Learning in Convolutional Neural Networks

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25:29

11-785 Spring 23 Recitation 4: Paper Writing Workshop

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01:01:54

11-785 Spring 2023 Recitation 5: CNN Basics & Backprop

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35:14

11-785 Introduction to Deep Learning, 2023 Spring: Homework 1 Hackathon 2/2

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01:23:57

11-785 Spring 23 Lecture 10: Models of vision, Convolutional Neural Networks

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01:24:00

11-785 Spring 23 Lecture 8: Optimizers and Regularizers

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08:13

11-785 Spring 2023 Recitation 0H: Basics of GIT

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01:26:00

11-785 Spring 23 Lecture 7 Training Neural Networks: Optimisation

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01:30:08

11-785 Spring 23 Lecture 6: Neural Networks: Optimization Part 1

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01:00

Boltus: God of AI | Ep 4 #shorts

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17:51

11-785 Spring 2023 Recitation 0F: AWS Fundamentals (Part 3/4)

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01:04:45

11-785 Spring 23 Lecture 5b: Learning the Network Part 2

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