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Voltar para Convolutional Neural Networks in TensorFlow

Comentários e feedback de alunos de Convolutional Neural Networks in TensorFlow da instituição

7,341 classificações
1,140 avaliações

Sobre o curso

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 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 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....

Melhores avaliações


14 de mar de 2020

Nice experience taking this course. Precise and to the point introduction of topics and a really nice head start into practical aspects of Computer Vision and using the amazing tensorflow framework..


11 de set de 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.

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476 — 500 de 1,142 Avaliações para o Convolutional Neural Networks in TensorFlow

por YASH N

25 de jun de 2020

Explained each and every details with ease.

por Charley L

19 de abr de 2020

comprehensive concepts, easy to understand.

por Antti R

2 de nov de 2019

Very informative, nice pace, easy to follow

por Aashutosh K J

19 de out de 2020

Very good teacher that's all I have to say

por Mohammad A

13 de jun de 2020

assignments should contain some guidelines

por Radhakrishnan V

11 de jun de 2020

Learnt a lot in this course. Thanks a lot.

por Hanan S A

3 de jan de 2020

code and slides are nice and crystal clear

por Leo

25 de jun de 2019

Great course for Computer Vision problems!

por Ameya D

29 de jun de 2021

Able to get good knowledge of Tensorflow.

por 张越兴

24 de jul de 2020

我太爱你了 吴恩达老师还有google这个老师 我在youyube上看过您的视频!

por Mats E

8 de jul de 2019

Very good high-level introduction course.

por Oleksandr M

11 de jun de 2019

It's very clear and useful! Thank you! :)

por Manish D

19 de mar de 2022

Great course packed with superb content!

por Rich H

27 de jun de 2020

Fantastic! I learned so much!!! Love it!

por Madhumitha S

14 de jun de 2020

excellent explanations and lucid content

por Oscar S D

5 de mai de 2020

Excellent course with challenging tasks!

por thalla p

9 de mar de 2020

well planned, to dip into deep learning.

por winniefred m b

16 de mai de 2021

Loved the labs, they were very engaging

por Ogunkeye F

18 de jun de 2020

Very well detailed course. I enjoyed it

por S. M F

14 de abr de 2020

I wish it had more weeks to learn more!

por Alejandro B S

9 de abr de 2020

good course, the instructe its the best

por swaraj b

5 de ago de 2019

Truly breath taking course ware design.


26 de jun de 2019

compel the submission of ungraded tests

por forsa o

17 de mai de 2021

simple focused and greate thanks a lot

por Ridvan O

19 de nov de 2020

I love the way how Laurence teaches!!!