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  • 12 commits
  • 12 files changed
  • 3 contributors

Commits on Aug 4, 2021

  1. add lesson 7 and scripts

    @piyueh
    piyueh committed Aug 4, 2021
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  2. added an appendix to explain neural network terms

    @piyueh
    piyueh committed Aug 4, 2021
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Commits on Aug 6, 2021

  1. tune parameters and content 

    - make lesson 5 and lesson 7 more comparabnle regarding the optimization
- use n1, n2, ... to replace nz1, nz2, ...
- monitor non-regularized loss
- change the loss to mean, instead of summation
- also use mean for the regularization term
- change random seed
    @piyueh
    piyueh committed Aug 6, 2021
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  2. add learning rate explanation and clear output of lesson 7

    @piyueh
    piyueh committed Aug 6, 2021
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  3. add lesson 6 draft, data, script

    @tingyu66
    tingyu66 committed Aug 6, 2021
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  4. describe numpy broadcast and some minor edits

    @tingyu66
    tingyu66 committed Aug 6, 2021
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Commits on Aug 9, 2021

  1. lesso5: record loss hist, hist plot, run a fixed num. iter.

    @piyueh
    piyueh committed Aug 9, 2021
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Commits on Aug 10, 2021

  1. add full learning curve, npz of trained parameters

    @tingyu66
    tingyu66 committed Aug 10, 2021
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  2. add the term "feature" to the appendix

    @piyueh
    piyueh committed Aug 10, 2021
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  3. lesson 7: record loss history, use params at the best val loss

    @piyueh
    piyueh committed Aug 10, 2021
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Commits on Aug 28, 2022

  1. Merge pull request #6 from piyueh/lesson7 

    update lesson 5 and add lesson 7 and appendix
    @labarba
    labarba authored Aug 28, 2022
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  2. Merge pull request #7 from tingyu66/lesson_6 

    add lesson 6 draft, data and helper script
    @labarba
    labarba authored Aug 28, 2022
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