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0:03:19

Copy Other Peoples Work

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DataScienceForBeginnersSeriesPredictAnAnswerWithA high

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How Data Science Works

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How k-nearest neighbors works

0:03:48

Build a 2D convolutional neural network, part 17: Cottonwood cheatsheet

0:05:28

Build a 2D convolutional neural network, part 16: Cottonwood code tour

0:06:09

Build a 2D convolutional neural network, part 15: Rendering examples

0:04:43

Build a 2D convolutional neural network, part 13: Loss history and text summary

0:05:45

Build a 2D convolutional neural network, part 14: Collecting examples

0:05:11

Build a 2D convolutional neural network, part 12: Testing loop

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Build a 2D convolutional neural network, part 10: Connecting layers

0:03:07

Build a 2D convolutional neural network, part 11: The training loop

0:03:14

Build a 2D convolutional neural network, part 9: Adding layers

0:03:58

Build a 2D convolutional neural network, part 8: Training code setup

0:03:06

Build a 2D convolutional neural network, part 7: Why Cottonwood?

0:06:03

Build a 2D convolutional neural network, part 6: Examples of successes and failures

0:04:27

Build a 2D convolutional neural network, part 5: Pre-trained model results

0:02:18

Build a 2D convolutional neural network, part 3: MNIST digits

0:02:44

Build a 2D convolutional neural network, part 4: Model overview

0:02:27

Build a 2D convolutional neural network, part 2: Overview

0:02:24

Build a 2D convolutional neural network, part 1: Getting started