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Titanic - Back-Propagation in Numpy #11

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Aakriti28 opened this issue Oct 11, 2020 · 1 comment
Open

Titanic - Back-Propagation in Numpy #11

Aakriti28 opened this issue Oct 11, 2020 · 1 comment
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hacktoberfest Issues with this tag will be considered under Hacktoberfest 2020

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@Aakriti28
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A neural network has been coded from scratch in Numpy on the dataset in this notebook but it is incomplete; it misses the function for calculating gradients during back-propagation. Your task is to complete the function for calculating gradients, train the model and output the predictions on test data to a csv file.

@Aakriti28 Aakriti28 added the hacktoberfest Issues with this tag will be considered under Hacktoberfest 2020 label Oct 11, 2020
@sheelfshah
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I have taken this up... #31

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Labels
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