MousaviSajad / ECG-Heartbeat-Classification-seq2seq-model

Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach
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Number of parameters #6

Open zerodohero opened 4 years ago

zerodohero commented 4 years ago

Does the number of parameters mentioned in your paper refer to the number of parameters / 1024/1024?

MousaviSajad commented 4 years ago

Hello, If you are talking about this sentence in the conclusion section, " Also, the proposed network with a low number of parameters (i.e., with a maximum size of 5.5MB) can be used with wearable devices", it is the network size.

Regards, Sajad

On Tue, May 26, 2020 at 1:13 AM zerodohero notifications@github.com wrote:

Does the number of parameters mentioned in your paper refer to the number of parameters / 1024/1024?

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zerodohero commented 4 years ago

Hello, If you are talking about this sentence in the conclusion section, " Also, the proposed network with a low number of parameters (i.e., with a maximum size of 5.5MB) can be used with wearable devices", it is the network size. Regards, Sajad On Tue, May 26, 2020 at 1:13 AM zerodohero @.***> wrote: Does the number of parameters mentioned in your paper refer to the number of parameters / 1024/1024? — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#6>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AD4D7SJSTK54IKJWGYVRAIDRTNFYRANCNFSM4NJ7KBZQ .

Thank you, is 5.5M the parameter of your model? Is his calculation method obtained by dividing the number of model parameters by 1024 * 1024?

MousaviSajad commented 4 years ago

To get the number of parameters: (5.510241024*8bytes)/32(float32)

Regards, Sajad

On Tue, May 26, 2020 at 8:45 PM zerodohero notifications@github.com wrote:

Thank you, is 5.5M the parameter of your model? Is his calculation method obtained by dividing the number of model parameters by 1024 * 1024?

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zerodohero commented 4 years ago

To get the number of parameters: (5.510241024*8bytes)/32(float32) Regards, Sajad On Tue, May 26, 2020 at 8:45 PM zerodohero @.**> wrote: Thank you, is 5.5M the parameter of your model? Is his calculation method obtained by dividing the number of model parameters by 1024 1024? — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#6 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AD4D7SKJBXGWCMMUPMCZSMLRTRPDRANCNFSM4NJ7KBZQ .

Thank you very much.

krishnaraj1024 commented 3 years ago

image Sir i am getting this error while runnning.. how to rectify it any ideas