Chevron Left
Back to Traffic Sign Classification Using Deep Learning in Python/Keras

Learner Reviews & Feedback for Traffic Sign Classification Using Deep Learning in Python/Keras by Coursera Project Network

4.6
stars
348 ratings
51 reviews

About the Course

In this 1-hour long project-based course, you will be able to: - Understand the theory and intuition behind Convolutional Neural Networks (CNNs). - Import Key libraries, dataset and visualize images. - Perform image normalization and convert from color-scaled to gray-scaled images. - Build a Convolutional Neural Network using Keras with Tensorflow 2.0 as a backend. - Compile and fit Deep Learning model to training data. - Assess the performance of trained CNN and ensure its generalization using various KPIs. - Improve network performance using regularization techniques such as dropout....

Top reviews

NB
Jun 20, 2020

Very nice course, everything was explained perfectly.\n\nCan also add about testing the trained model using external data, like if we want to give an input and perform prediction then how it is done.

FB
May 21, 2020

Instructor was efficient in delivering the knowledge and I understood it very well. The exercises were also great. Overall, my aim for taking this course had been accomplished.

Loading...