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Volver a Traffic Sign Classification Using Deep Learning in Python/Keras

Opiniones y comentarios de aprendices correspondientes a Traffic Sign Classification Using Deep Learning in Python/Keras por parte de Coursera Project Network

4.6
estrellas
353 calificaciones

Acerca del Curso

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....

Principales reseñas

NB

20 de jun. de 2020

Very nice course, everything was explained perfectly.

Can 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

21 de may. de 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.

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26 - 50 de 52 revisiones para Traffic Sign Classification Using Deep Learning in Python/Keras

por SASI V T

12 de jul. de 2020

EXCELLENT

por Santiago G

1 de sep. de 2020

Thanks!

por Kamlesh C

30 de jun. de 2020

thanks

por Arpit S

22 de jul. de 2020

great

por ARSH B 1

20 de dic. de 2021

good

por tale p

28 de jun. de 2020

good

por GIJI S

21 de jun. de 2020

Good

por Vajinepalli s s

16 de jun. de 2020

nice

por SAMBATURU V

20 de abr. de 2020

good

por Naveen C

14 de may. de 2020

.

por Pranshu N

13 de jul. de 2020

Course misses detailed explanation but its good for those who have just learned CNN's and want a quick hands on experience.

por Grace G N B

10 de jul. de 2020

Very interesting topic and best mentor Ryan Ahmed.Thank you very much Sir also Coursera

por MAYUR K

9 de nov. de 2020

Course was really good but it can have some more stuff like using model in a web app

por VINAYAK S

10 de may. de 2020

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

por Parul J (

8 de jun. de 2020

Please allow me to download the code that I wrote on RHYME.

por Vineet K

27 de abr. de 2020

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

por Aafaq I

13 de ago. de 2020

Pretty cool idea and made it easy to walk through to code

por Tsering W S

24 de jul. de 2020

Nice and well explained project. Thank you

por Sarvagya K

15 de may. de 2020

Good for understanding basics.

por MOHAMMED K

13 de sep. de 2020

Great explaination

por Mariam S A R

14 de oct. de 2021

​ok

por Rahil J

31 de may. de 2020

It's a good guided project. Don't trust Rhyme, the cloud desktop which is being used. I can't practice simultaneously.

PS: There are no datasets available, so check Kaggle

por G S n R

3 de jun. de 2020

Resources might have been provided as the could desktop was not function properly and there was no proper response from instructor for messages

por Gurpreet S N

1 de jun. de 2020

I feel few more details can be added to the course especially while explaining CNN

por Aritra S

31 de may. de 2020

The external tool is not good. It is very slow and not user-friendly.