Image Colorization using TensorFlow 2 and Keras

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Image Colorization using TensorFlow 2 and Keras provided by Coursera is a comprehensive online course, which lasts for 1-2 hours worth of material. Image Colorization using TensorFlow 2 and Keras is taught by Vinita Silaparasetty. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • 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.