data-science-ipython-notebooks
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donnemartin
alexnet.ipynb contains incomplete architecture of alexnet(2 cnn layers missing)
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
Suee ,what exactly is do you want?
On Sun, Sep 27, 2020, 17:05 Gokulakannan [email protected] wrote:
I am really interested to take this issue can you assign me?
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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.
That's a great idea, sure
On Sun, Sep 27, 2020, 18:37 Gokulakannan [email protected] wrote:
Suee ,what exactly is do you want? … <#m_-6118350856158655670_> 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) https://github.com/donnemartin/data-science-ipython-notebooks/issues/64#issuecomment-699646636>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AQJK42WPOI3ZH4B4S2SZB63SH5IE5ANCNFSM4HEUNIIA .
Well I would correct the alexnet structure by adding the missing convolutions.
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