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alexnet.ipynb contains incomplete architecture of alexnet(2 cnn layers missing) #64

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harshitsaini opened this issue Apr 9, 2019 · 5 comments

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@harshitsaini
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Alexnet implementation in tensorflow has incomplete architecture where 2 convolution neural layers are missing. This issue is in reference to the python notebook mentioned below.

https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/alexnet.ipynb

@GokulParzival
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I am really interested to take this issue can you assign me?

@brianmureverwi
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brianmureverwi commented Sep 27, 2020 via email

@GokulParzival
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Suee ,what exactly is do you want?

On Sun, Sep 27, 2020, 17:05 Gokulakannan @.***> wrote: I am really interested to take this issue can you assign me? — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#64 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AQJK42WPOI3ZH4B4S2SZB63SH5IE5ANCNFSM4HEUNIIA .

Well I would correct the alexnet structure by adding the missing convolutions.

@brianmureverwi
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brianmureverwi commented Sep 27, 2020 via email

@GokulParzival
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I guess I need to be assigned in order to make changes.

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@donnemartin @harshitsaini @GokulParzival @brianmureverwi and others