Train and deploy deep learning models for image recognition
- 4.6
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Brief Introduction
Build your neural network using Keras, train it using Google AI Platform then deploy it using Flask and Google Cloud RunDescription
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.
Requirements
- Requirements
- Basic knowledge of Python.
- Basic knowledge of Keras (although I will be explaining the code thoroughly).
- Some knowledge of cloud computing is a plus but not required.
Nour Islam Mokhtari
4.6 Raiting
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