Image Colorization using TensorFlow 2 and Keras

Por: Coursera . en: , ,

This guided project is about image colorization using TensorFlow2 and Keras. Image colorization comes under the computer vision domain. In this project you will learn how to build a convolutional neural network(CNN) using Tensorflow2 and Keras.

While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning.

Special Feature:

1) Explanation of the process of image colorization.
2) How to reshape data to fit a CNN.
3) Explanation of each layer in a CNN.
4) Create a Streamlit app to allow users to colorize a black and white image using the model you trained.


Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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