gsurma / image_classifier Goto Github PK
View Code? Open in Web Editor NEWCNN image classifier implemented in Keras Notebook 🖼️.
Home Page: https://gsurma.github.io
License: MIT License
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amitmaliik mabrokma stjordanis eric093 hanifsarwary karthikarul20 ramdhanoriya leoyuanjieli tigermachinelearning mks999 ashwinrajendraprasad janinamattes bennio cuda-chen ann4259 aiedward tayyabansari2011 nihitmittal manu0377 ven25359 janakhpon bleaphar21 crispyjones7387 shiveksachdev harshit-saraswat truonggiangvu abhijitdalavi techwithshadab smortezavi vaidya2808 splevine chamlylorence ymdarum ankitdsbhadoriya chenmalobani march83 nithinaiml geagrid emmygold1 monsterljj hieptran1812 jiapei100 dkqyqyt anitalp jennyhjn qoo ryanbekabe hkonsg geojunky qiming-zou ferrygo bharani-nunna osmanatam faisalshahbaz dykim723 shoachia waqaskiyani mengfan-prog anhvaut narengs7 rajaram1988 aralotfi prashant9316 gurpreet-forks conglinhcse clescure citypalmtree kwanter virupaa qinghuazhao sruthigedela tangmingsh sungs0711 subudhidebadash jay-chan ssheff deepthi-jallepalli hell-world-yes unnati914 gitmedenis pabryan abhishek-jain-12072000 williamalbert94 wdafoe giering singhsukhendra margaretnm codehemp therealbrisky wanglaoshi motmi98 anusha-n114 gauravjha2900 generalistcodes shilpasayuraml fahmi143 justinnguyen2310image_classifier's Issues
Add .h5 model files
I've some trouble to reproduce the trained models from the information in the blog post and the readme Usage section. The training data is not provided in folders w.r.t. to classification. Probably I missed some info to get it work as well. I'd like to use the model in a github repo as example about how to wrap a trained model into a microservice. In case you have the fully reproducable model.h5 file (the final 5th version of the model) flying around somewhere it would be great if you could add it to the repo. Great blog post btw!
Epochs issue
Hi,
why it is taking 1hours time to complete One Epoch ,
if it takes one hour for each epoch , to complete the 20 epochs it takes 20-hours time right. so any logical error do we have here ?
about TEST_SIZE = 30
can you please tell me why did you used : TEST_SIZE = 30 in code
probabilities = model.predict_generator(test_generator, TEST_SIZE)
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