Multi-class Image Classification using Keras (Python) on Weather Dataset (Kaggle)

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Acknowledgement: Thanks to Vijay Gupta for providing the weather dataset and sample codes.
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Hi. Can you plz guide me how to create this test.csv file

shahafraz
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Thanks sir i hv been searching for this for quite some time now..most helpful

turbophilable
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​ @The Class of AI Thank you for the video. The dataset I am currently using has no test.csv. How do I generate my test.csv such that I can use it to test the model. Or do I do that manually. I have the test folder that contains the all the images I want to use to test. Thank you.

akinboyeyusuff
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How can I use my own dataset for this?

ibrahimsincap
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One of the best videos and solved my problem... Thank you so much sir ❤️

AghaKhan
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Amazing video. Thank you so much for your content. it is advantageous. it solved my problem of splitting datasets in folder management.

indointanchannel
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Given a training dataset which has pdf having scan image of restaurant invoice...need code for nlp model to extract subtotal from receipts...any such sample code available?

chintanparmar
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thank you so much sir this is very good explanation, but i question sir can this model will classify only one image? and it should give me class of that image?

prashilramteke
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Kindly help me with this error, i'm a complete newbie trying to apply this process to another model.
InvalidArgumentError for model.fit_generator (deprecated)

abhijeetkumar
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sir, How do split dataset if we have 3 splits(train, valid, and test). I have an error like below.

split_size = .85

split_data(YES_SOURCE_DIR, TRAINING_YES_DIR, VALID_YES_DIR, TEST_YES_DIR, split_size)
split_data(NO_SOURCE_DIR, TRAINING_NO_DIR, VALID_NO_DIR, TEST_NO_DIR, split_size)
TypeError: split_data() takes 4 positional arguments but 5 were given
Please you give a problem solver about this. Thank you so much. Greeting.

IntanMire
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Sir,
i am getting error in CCN model section, My epochs are not running and giving the erroe as :

InvalidArgumentError: logits and labels must be broadcastable: logits_size=[16, 5] labels_size=[16, 4]
[[node
(defined at
]]

plese solve the issue

ayushpratap
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can u tell the model name u have used in this?

jaswanthchowdary
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Amazing video! Just had a small doubt. How did you make the csv file of your labels?

neelabhsomani
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Great video! Just a quick question, how do you print the images in the train or validation folders?

jokerify
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Based on your code I have an error due to split data there is no such file directory

anilkumarchannamsettti
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Thanks for video!! There was a step to check the number of images across classes(cloudy, fog etc)...is it required to be balanced across classes to get better accuracy?

chintanparmar
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Thank you for the video!
I have the problem though, that the prediction comes out as integers, meaning it predicts like so [0 0 1 0]. I would like it to give me floats like [0.5 0.7 0.1 0.5] for example

beda
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How to split dataset in train and test set?

anujanaphade
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Is it possible to create multi-class image classification and captioning without using Tensorflow, Keras, or sklearn

poraspatle
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Very Nice video. Can you guide me how to find RECALL value for MULTICLASS IMAGE CLASSIFICATION in keras?

sheetalnagar
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