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学生对 Coursera Project Network 提供的 Image Colorization using TensorFlow 2 and Keras 的评价和反馈


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....

1 - Image Colorization using TensorFlow 2 and Keras 的 1 个评论(共 1 个)


May 26, 2021

I will grade this course as 0 out of 100. The code as explained is not working and no explanation was provided about "why". Also, no solution notebook provided at the end of the course to validate where the problem is. Therefore the outcome of the project is "Zero" and wasting of time rather than following some github reproducible code practice. Course Instructor must clarify real reason of code not working and producing all the time a "black" picture from what he/she explained and instructed during live coding practice. Coursera also has the responsibility to check the quality content of any offered course so that student or any course subscriber has the opportunity to learn something in real.