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ma'am since the dataset contains only 2 classes i.e either tumor or nor then why are you using Categorical cross_entropy with 2 neurons why cant we use binary cross_entropy with 1 neuron?

Thank you! This has really helped me understand AVL Trees better. However, in the Final Tree, you forgot to add 8.

Mam where it is used to classify whether the person have tumor or not Like how can i use this model on new images later. Please tell me as this will help me building new stuff for mini project in college

Copy API command is not visible..

Is this deep learning

Thank you so much

Probably the most important video for beginners trying to create binary classifiers. Thanks amilli 👏

can i show new imagen to this model so the model can tell me if a person have a tumor or not? since the dataset just have two seption ppl that have a tumor and people that doesnt have a tumor, it will be cool if you add imagen withour any context to see if the model can guest if a person have a tumor or no.

your videos are very helpful.can you please provide the code mam.

can please provode full code..

TypeError: Layer.__init__() takes 1 positional argument but 4 were given

I have written this code; however, I am encountering an error with this particular line. Could you kindly assist me with this? "ensemble_output= WeightedAverageLayer(0.6,0.3,0.1)(models_outputs)" the error "TypeError: Layer.__init__() takes 1 positional argument but 4 were given"

Good explanation

Please show the visible images about check point

Thank you mam very useful

Hi Maa'm, How features are extacted and AOI calculated? Does Inception V3 do this task automatically... if so how can you please explain?

Thank you so much for this. It's explained really well with the example

Can I contact you via email to inquire about some things?

Might be model is overffited!

what accuracy does this model get

straight forward, clear explanation.

Excellent

very less time to cover more helpfull info , thanks u

What a great instructor you are! Thanks

Very nice

Very nice

Thank you mam for the great video! Some doubts about feature scaling. 1) Shouldn't we do the feature scaling after train_test split? 2) the code you suggested will do the feature scaling of all the label encoded variables also. Shouldn't we do the feature scaling of only numeric variables?

Thanks for the wonderful video mam! I have a doubt. Do we require to do feature scaling of all numerical variables before fitting the models or these models take care of it automatically?

thank you so much mam.. super clear cut explanation mam..kindly upload image to text genration also from generative ai mam kindly

6:55, is this on testing data?

Hi mam enakku DL la orusila doubts irukku mam Unga insta id kudunga mam Naa voice note mooliyama explain panren. Enakku help pannunga mam please mam please

In weighted ensemble model shall we give weights as sum of 1 or any random in nature, one thing is a clear based high accuracy provided by the model you can give high weightage value . am i correct madam , please give me a reply as soon as possible.

❤

Thanks

Hello. Hope you are doing fine. I am an undergrad student . I am working on a project. Can you guide me in a query. I have CT scan dataset in the form of DICOM meaning for a single CT scan I have 100 layers. Should I feed the whole data into my deep learning model or should I feed the single malicious layer into my model. Thankyou

Good one. Please make a Deep learning series as well!

straight forward , simple and clear! Thank you!

THANKS YOU FOR THIS

Congrats! I'm learning a lottt with you. You are so a good teacher! Thanks a lot!

thank you for this

Thank you! Finally a great explanation of all the possible scenarios

hello mam i have a doubt can u solve it for me

Mam, there are many potential flaws in your hybridization technique.

link tutorial please

Dataset need him mam please share you mam

Thanks!

you didn't choose the VGG16 model in this case because its accuracy doesn't inproove so you used the inceptionV3 twice

Perfect

Hello madam, great information in this video. it is requested that kindly make a video on the stacking ensemble technique using DCNN models for image classification i have difficulty in implementing stacking ensemble techniques. Thank you so much for sharing for informative videos

Its 5.08 AM and today is my midterm exam and our AI teacher teaches us by copying the lectures of Stanford university. He didn't even tell us that Logistic Regression ,..... Neutral Networks are algorithms used for Binary Classification. And he is going to give us problems in exams related to all these. But thanks for showing us how things are practically done.