Deploying Machine Learning Models with Flask for Beginners

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Deploying Machine Learning Models with Flask for Beginners [TutsNode.com] - Deploying Machine Learning Models with Flask for Beginners
  • 15-Deploying Your Model on the Internet for Free.mp4 (213.3 MB)
  • 03-Defining and Training the Model.mp4 (210.3 MB)
  • 11-Flask Application - an Endpoint for Your Image Classification API.mp4 (189.1 MB)
  • 08-Creating the Flask Endpoint and Ensuring Data Quality Checks.mp4 (163.6 MB)
  • 09-Testing Our API Endpoint.mp4 (123.0 MB)
  • 10-Introduction to Image Classification.mp4 (88.1 MB)
  • 12-The HTML Template Explained.mp4 (68.4 MB)
  • 02-Introduction to Flask.mp4 (64.0 MB)
  • 04-Evaluating and Saving the Trained Model.mp4 (60.4 MB)
  • 05-Testing the Model Availability and Making a First Prediction.mp4 (55.2 MB)
  • 07-Creating Our Flask Application.mp4 (45.6 MB)
  • 06-Defining the Boundaries of Your Input Data.mp4 (28.7 MB)
  • 13-Predicting Images on Your Hosted Flask Web Application.mp4 (27.8 MB)
  • 01-Hello and Welcome to the Course.mp4 (23.7 MB)
  • 14-Congratulations and Final Words of Wisdom.mp4 (18.4 MB)
  • TutsNode.com.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
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Description


Video description

Create APIs for machine learning with Flask and deploy your application to the web

About This Video

Create your own API endpoint for your machine learning models
Create a Flask application from scratch
Deploy your model on the web

In Detail

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.

Released April 2021



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Deploying Machine Learning Models with Flask for Beginners

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1.4 GB
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Deploying Machine Learning Models with Flask for Beginners

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