Sure, I guess there was another video created for text classification. Process to create model is same. There is a "save model" activity to save the model. Will create a video soon for the same.
Say we wanted to use image embedding, but to cross-reference generic SKU images against their respective sales data from 2010-2019 (quarterly) -> To project their sales quantities (also quarterly) in 2020 and 2021.. what's a good flow for this? How do you merge SqueezeNet Image embedding dataset to sales dataset, and run a projection on a quarterly timeline?
Hi there. quite interesting... yet you did not answer to Shreya Pattewar and Unpretty Evil. It is clear the function of the target file, but would you please please detail the format of the supposed content? Fastest is going to be to add a link to such a file in the description of your clip Thanks
Sorry I didn't got you. You mean the target file format, its CSV with 2 values, Normal and Pneumonia. Yes, I will add the files in description from next time, Thanks for the suggestion :)
@@vjysri2756 not sure. ☺️ I think there should be some way for this in neural nets. An easy and very basic method, crop image using some RPA tools before training 😁
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Excellent Mohit, it is very kind of you. Thank you for the prompt reply, I assume it will also appreciate by the other followers
Stay good and well
SR
Yes, that was nice suggestion, could have avoided the confusion :) Thank you!
@@mohitrao7932 do not forget to write me each time you publish next videos... thanks
Please subscribe, so that TH-cam will notify ☺️. Usually I upload videos once a month, mostly on service-now or data science
Hi Mohit, request to you to kindly make a detailed video on how to create this model
Sure, I guess there was another video created for text classification. Process to create model is same. There is a "save model" activity to save the model. Will create a video soon for the same.
th-cam.com/video/nzuP8Lz2izU/w-d-xo.html
What is there in target class file? Please reply as soon as possible
Its Pneumonia and Normal, Sorry for delay
Say we wanted to use image embedding, but to cross-reference generic SKU images against their respective sales data from 2010-2019 (quarterly) -> To project their sales quantities (also quarterly) in 2020 and 2021.. what's a good flow for this?
How do you merge SqueezeNet Image embedding dataset to sales dataset, and run a projection on a quarterly timeline?
I am not sure, what kind of images these are? And what are we trying to extract?
What Neural Network model did you use in the "load model" widget?
Hi there. quite interesting... yet you did not answer to Shreya Pattewar and Unpretty Evil.
It is clear the function of the target file, but would you please please detail the format of the supposed content?
Fastest is going to be to add a link to such a file in the description of your clip
Thanks
Sorry I didn't got you. You mean the target file format, its CSV with 2 values, Normal and Pneumonia. Yes, I will add the files in description from next time, Thanks for the suggestion :)
is it possible to pin point the area of the image from the embeddings ?
I am not sure, i don't think it's possible in Orange.
@@mohitrao7932 is it possible using any other image analytics tool ??
@@vjysri2756 not sure. ☺️ I think there should be some way for this in neural nets. An easy and very basic method, crop image using some RPA tools before training 😁
How to add target class
What is there in target class file?
Its Pneumonia and Normal
Hi Mohit, how do you create the class file?
And where do you import the neuralnet model?