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Build your neural network using Keras, train it using Google AI-Platform then deploy it using Flask and Google Cloud Run
This course will take you through the steps that a machine learning engineer would take to train and deploy a deep learning model. We will start the course by defining an end goal that we want to achieve. Then, we will download a dataset that will help us achieve that goal. We will build a Convolutional Neural Network using Tensorflow with Keras and then we will train this network on Google AI-Platform. After saving the best trained model, we will deploy it as a web app using Flask and Google Cloud Run. Throughout the course, we will be using Docker to containerize our code.
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.
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