Train and deploy deep learning models
Build your neural network using Keras, train it using Google AI-Platform then deploy it using Flask and Google Cloud Run
What you’ll learn
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Build a deep convolutional neural network using Keras and tensorflow.
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Leverage the power of transfer learning to get high accuracy on your classification task.
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Use google cloud platform to make training and deploying your deep learning model easy and scalable.
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Leverage the power of AI-Platform on Google Cloud Platform to focus on the training of your deep learning model and not on infrastructure.
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Containerize your training code and deployment code to make sure your code runs smoothly and everywhere.
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How to deploy your deep learning model as a web app using Flask and Cloud Run.
Requirements
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Basic knowledge of Python.
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Basic knowledge of Keras (although I will be explaining the code thoroughly).
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Some knowledge of cloud computing is a plus but not required.
Who this course is for:
- Data scientists who want to learn how to leverage cloud computing to train and deploy deep learning model.
- Software engineers who want to learn how to train and deploy deep learning models using Keras and tensorflow.
- Students who are trying to decide whether to choose data science and machine learning as a possible career.
- Hobbyists who want to learn how to build and deploy deep learning models for their DIY or side projects.
