Comparing Transfer Learning Models Using Gradio

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Gradio generates an easy-to-use UI for your ML model, function, or API with only a few lines of code. Integrate directly into your Python notebook, or share a link with anyone.
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The selection of topics, content, consistency and number of videos you upload on daily basis deserves alot of appreciation.

ayeshakhan

Been using this module for sometime now. One of the best for inferencing

ashu-

Thank you for video 👍it will be good if u continue data science interview with stats playlist

bhargavikoti

Krish bhaiya, make video on BERT models. Basics from like where to load, how to add Layers ETC ETC

pranaypatankar

Sir please do video on efficientnet for image classification

radhikapatil

Sir please make a tutorial on machine translation using encoder and decoder along with sudhanshu sir like the attention model class🤗

rupakdey

Machine learning playlist is not well arranged 😶

Nick-uobi

Is gradio used only for local or also can be hosted anywhere

pointvaratum

What about the model we trained ourselves? How to load them?

farhahamani

@Krish Naik Sir it would be really helpful if you show us how to deploy this in heroku

EndvrX

Hey have you applied Gradio on your Car Price Prediction model instead of Flask and PyWebIO

SANJIVRAI

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pabitranaskar

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