Deploying Machine Learning Models with Flask for Beginners [Video]
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Free ChapterDeploying Machine Learning Models
- Hello and Welcome to the Course
- Introduction to Flask
- Defining and Training the Model
- Evaluating and Saving the Trained Model
- Testing the Model Availability and Making a First Prediction
- Defining the Boundaries of Your Input Data
- Creating Our Flask Application
- Creating the Flask Endpoint and Ensuring Data Quality Checks
- Testing Our API Endpoint
- Introduction to Image Classification
- Flask Application - an Endpoint for Your Image Classification API
- The HTML Template Explained
- Predicting Images on Your Hosted Flask Web Application
- Congratulations and Final Words of Wisdom
-
Deploying Your Machine Learning (ML) Models to the Web
About this
video
Flask is a web application framework used to develop web applications. Getting started with Flask is easy, and its power lies in its ability to scale up to complex applications. In this course, you’ll learn the most effective ways to use Flask in order to create your own web application.
You’ll begin with an introduction to Flask and quickly dive into defining and training your model. You’ll perform various actions on this model to train it and ensure that it is of the best quality for your application. You’ll also create and test API endpoints so you can predict the model’s behavior over time.
By the end of this course, you’ll have the confidence to deploy this application to the web and learn how to fix any errors that may arise during this process.
The code bundle for this course is available at https://github.com/PacktPublishing/Deploying-Machine-Learning-Models-with-Flask-for-Beginners
- Publication date:
- April 2021
- Publisher
- Packt
- Duration
- 2 hours 31 minutes
- ISBN
- 9781801077187