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Deployment of Deep Learning Model using Flask
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Data Science and Machine Learning with Python and R - Deployment of Deep Learning Model using Flask

5.0 (2)
18 learners

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This course includes

  • 14 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries.[3] It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions. However, Flask supports extensions that can add application features as if they were implemented in Flask itself. Extensions exist for object-relational mappers, form validation, upload handling, various open authentication technologies and several common framework related tools. Extensions are updated far more regularly than the core Flask program. #FlaskDeepLearningModelDeployment github url: https://github.com/krishnaik06/Deployment-Deep-Learning-Model You can buy my book where I have provided a detailed explanation of how we can use Machine Learning, Deep Learning in Finance using python url: https://www.amazon.in/Hands-Python-Finance-implementing-strategies/dp/1789346371/ref=sr_1_1?keywords=krish+naik&qid=1560675332&s=gateway&sr=8-1

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