Chevron Left
Zurück zu Convolutional Neural Networks in TensorFlow

Bewertung und Feedback des Lernenden für Convolutional Neural Networks in TensorFlow von deeplearning.ai

4.7
Sterne
7,590 Bewertungen

Über den Kurs

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Top-Bewertungen

JM

11. Sep. 2019

great introductory stuff, great way to keep in touch with tensorflow's new tools, and the instructor is absolutely phenomenal. love the enthusiasm and the interactions with andrew are a joy to watch.

MS

12. Nov. 2020

A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!

Filtern nach:

1 - 25 von 1,166 Bewertungen für Convolutional Neural Networks in TensorFlow

von Nick A

8. Mai 2019

von Amal' I

3. Juli 2019

von Irina G

2. Aug. 2019

von Asad K

4. Juli 2019

von Jbene M

30. Juli 2019

von Dan G

21. Apr. 2020

von Walter H L P

6. Aug. 2019

von Xiaotian Z

25. Nov. 2020

von Romilly C

15. Mai 2019

von James V

28. Aug. 2019

von Muhammad H

24. Mai 2019

von Eslam G

19. Juli 2019

von Ostap O

27. Juni 2019

von Parab N S

14. Sep. 2019

von Heman K

3. Mai 2019

von Iacopo C

11. Aug. 2020

von Mo R

27. Mai 2019

von Oleg K

7. Aug. 2020

von Abhinand P

28. Jan. 2022

von Tharindu B A

16. Juni 2019

von George J C

23. Aug. 2019

von Charlie M

1. Mai 2019

von SANDANAKISHNAN S

9. Dez. 2019

von Subhadeep D

20. Mai 2019

von Ivelin I

5. Mai 2019