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Вернуться к Traffic Sign Classification Using Deep Learning in Python/Keras

Отзывы учащихся о курсе Traffic Sign Classification Using Deep Learning in Python/Keras от партнера Coursera Project Network

4.6
звезд
Оценки: 348
Рецензии: 51

О курсе

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....

Лучшие рецензии

NB
20 июня 2020 г.

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
21 мая 2020 г.

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.

Фильтр по:

1–25 из 51 отзывов о курсе Traffic Sign Classification Using Deep Learning in Python/Keras

автор: Guney O

12 июля 2020 г.

This is by far one of the best guided project trainings I've ever taken. Real dataset, training and validation performance visualisations, rationale behind a CNN algorithm and much more.. Thank you for the course.

I personally think that it would have been great if more info about input data (why use p-file, is it common, how are those binary files generated etc.) was given in Task#2 chapter.

автор: Neha B

21 июня 2020 г.

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.

автор: Omkar G

11 апр. 2020 г.

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.

автор: K P K

21 янв. 2021 г.

Explaining the underlying concepts was done well and the overfitting mistakes done by users has been adressed well here. A few excercises to find syntax during the mini challenges was good . Final assignment involves right balance of conceptuality and hands on.

автор: Faizan A B F

22 мая 2020 г.

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.

автор: SHIKHAR S

11 апр. 2020 г.

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.

автор: shreya c

14 дек. 2020 г.

The comprehensive explanations helped me a lot and now I can build a project of my own.

автор: Ratnakar M

3 июня 2020 г.

no sourcecode is available and in my case virtual machine not respond well

автор: Ragib A A

24 сент. 2020 г.

Great project materials. Great instructor; beautifully demonstrated.

автор: GOWTHAM P

17 мая 2020 г.

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

автор: Helia B N

14 окт. 2020 г.

It was perfect. I learn CNN in a practical way.

автор: Isuru K

28 окт. 2020 г.

Great project. Learned a lot. Thank you !

автор: Prakhar M

29 сент. 2020 г.

Very Nicely Presented , Great Explanation

автор: Abhishek K

17 июля 2020 г.

Exceptional hands-on experience

автор: shaguna a

10 мая 2020 г.

The best ryhme course ever

автор: Muhammmad N A

19 авг. 2021 г.

Great course for CNN

автор: Rishabh R

9 мая 2020 г.

Excellent project

автор: asep i h

22 авг. 2020 г.

Very Good Course

автор: RITHWIK D p s

28 мая 2020 г.

Good Explanation

автор: PRAHLAD S C

11 июля 2020 г.

Extra Ordinary

автор: XAVIER S M

2 июня 2020 г.

Very Helpful !

автор: Md. A R

21 авг. 2020 г.

best tutorial

автор: ELANGOVAN K

4 июня 2020 г.

Good exercise

автор: Partheepan

9 апр. 2020 г.

very useful

автор: Parmar G H

9 сент. 2020 г.

EXCELLENT