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

74 ratings
13 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....
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1 - 13 of 13 Reviews for Traffic Sign Classification Using Deep Learning in Python/Keras

By Faizan A B

May 22, 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.


Apr 11, 2020

Thank you so much for such an awesome course ryan ahmad sir. I got 100/100 from your teaching. I wish i could meet you personally.


May 17, 2020

the instructor explains very well each and every line of code.

By shaguna a

May 10, 2020

The best ryhme course ever

By Rishabh R

May 09, 2020

Excellent project

By Partheepan

Apr 09, 2020

very useful


Apr 20, 2020


By Naveen C

May 14, 2020



May 10, 2020

It was an amazing experience for me to learn something different.

By Vineet K

Apr 27, 2020

Excellent course to understand how to build CNN and use it.

By Sarvagya K

May 15, 2020

Good for understanding basics.

By Omkar G

Apr 11, 2020

The Project is good. But the access to cloud resource was for real less time. No response has been given by trainer when asked doubts about errors. The way of teaching was quite impressive.

By raghu r m

May 10, 2020

not completely explaining the methods being used.