Deep learning

I have Mask RCNN model it is working, but I need to modify it as it read only one image with one Chanel as jpg file I need to modify it to read npy images with 2 and 3 channels.

Also it only calculate the loss I need to use accuracy and AUC and sensitivity and specificity.

It is working as pre-trained model, I need to see it with and without pretrained model

Taidot: Deep Learning, Tensorflow, Keras, Python

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Tietoa työnantajasta:
( 0 arvostelua ) Cardiff, United Kingdom

Projektin tunnus: #27808533

Myönnetty käyttäjälle:


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£160 GBP 2 päivässä
(3 Arvostelua)

16 freelancers are bidding on average £206 for this job


Hi, Greetings! ✅checked your project details: Deep learning ✅Completed Time: In project deadline We have worked on 600 + Projects. I have 6 + years of the experience in same kind of projects. If you are looking Lisää

£220 GBP 4 päivässä
(46 arvostelua)
(36 arvostelua)

Hey! I am having 4+ years of Industry Experience in Machine Learning, Deep Learning,Natural Language Processing, and Computer Vision Applications. Reading one channel means , reading a Particular channel ( for example Lisää

£170 GBP 7 päivässä
(18 arvostelua)

Hello, Please share the related part of code to review for metrics and inputs. I'd like to help you. Contact for further details. Best regards.

£220 GBP 10 päivässä
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£250 GBP 7 päivässä
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Hi, Greetings! As per your proposal I would like to tell you that deep learning models does not support variable channels as input. Therefore we need to retrain the network with the number of required channels. We can Lisää

£300 GBP 21 päivässä
(1 arvostelu)

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£222 GBP 3 päivässä
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