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alexnet.ipynb contains incomplete architecture of alexnet(2 cnn layers missing) #64
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I am really interested to take this issue can you assign me? |
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?
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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 ***@***.***> wrote:
Suee ,what exactly is do you want?
… <#m_-6118350856158655670_>
On Sun, Sep 27, 2020, 17:05 Gokulakannan *@*.***> wrote: I am really
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view it on GitHub <#64 (comment)
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Well I would correct the alexnet structure by adding the missing
convolutions.
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I guess I need to be assigned in order to make changes. |
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
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