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Adds constant memory backprop #2

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Adds constant memory backprop #2

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Commits on Jul 13, 2019

  1. Adds gradient computations for layers

    @anshuln
    anshuln committed Jul 13, 2019
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  2. Adds const memory backprop computations for layers

    @anshuln
    anshuln committed Jul 13, 2019
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  3. Merge upstream master

    @anshuln
    anshuln committed Jul 13, 2019
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  4. Merge

    @anshuln
    anshuln committed Jul 13, 2019
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  5. Adds fit function, needs some testing

    @anshuln
    anshuln committed Jul 13, 2019
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Commits on Jul 15, 2019

  1. Merge commit

    @anshuln
    anshuln committed Jul 15, 2019
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  2. Adds const memory backprop for AffineCoupling and other layers. Howev… 

    …er, in

some tests, the computed gradient is NaN for AffineCoupling, and this bug
remains even if O(n) gradient calculations are used.
    @anshuln
    anshuln committed Jul 15, 2019
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  3. Adds custom fit funtion using ndarray or tf Tensor

    @anshuln
    anshuln committed Jul 15, 2019
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Commits on Jul 16, 2019

  1. Adds unit tests for gradient descent

    @anshuln
    anshuln committed Jul 16, 2019
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  2. Adds unit tests for gradient descent

    @anshuln
    anshuln committed Jul 16, 2019
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  3. Fixes incorrect gradient for AffineCoupling

    @anshuln
    anshuln committed Jul 16, 2019
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Commits on Jul 17, 2019

  1. Adds fit_generator for models

    @anshuln
    anshuln committed Jul 17, 2019
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Commits on Jul 18, 2019

  1. Minor bug fixes

    @anshuln
    anshuln committed Jul 18, 2019
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  2. Potential fix for incorrect dy issue

    @anshuln
    anshuln committed Jul 18, 2019
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  3. Fixes order of gradients in tests

    @anshuln
    anshuln committed Jul 18, 2019
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