TensorFlow Image Processing

Get started with Machine Learning (ML)/Neural Network (NN) tools

Start free course Join 701 others!

social preview
Get started with Machine Learning (ML)/Neural Network (NN) tools
Steps to complete this course 9
  1. Introduction

    Introduction to Machine Learning

  2. Install and Setup

    Install and setup environment

  3. Using Pip

    Use Pip to Import machine learning packages in the command line

  4. Importing Pip Packages

    import Numpy, MatPlotLib, and TensorFlow libraries

  5. Testing image data

    Test our libraries by displaying an image

  6. Preprocess dataset

    Prepare dataset for machine learning

  7. Model Generation

    Prepare dataset for machine learning

  8. Training Model

    Train our model to recognize articles of clothing

  9. Evaluating Model

    Train our model to recognize articles of clothing

Tags
TensorFlow
Python
Machine learning
Neural network
Share TensorFlow Image Processing
Average time to complete

247 minutes

Free

All public courses on Learning Lab are free.

Latest release

Users who took this course also took

What is GitHub Learning Lab?

Learn new skills by completing fun, realistic projects in your very own GitHub repository.

Ready to start learning?

Start TensorFlow Image Processing