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Image Colorization using TensorFlow 2 and Keras

Offered By: Coursera Project Network via Coursera

Tags

TensorFlow Courses Computer Vision Courses Cloud Computing Courses Keras Courses Streamlit Courses

Course Description

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.

Taught by

Vinita Silaparasetty

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