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

4.7
estrelas
6,937 classificações
1,081 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 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....

Melhores avaliações

JM
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.

RB
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..

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826 — 850 de 1,083 Avaliações para o Convolutional Neural Networks in TensorFlow

por Tudor M

11 de Mar de 2021

Some assignments are quite vague and can take up a lot of time to findout what the problem is.

por Yuliya M

6 de Jan de 2020

It's a wonderful course! Pity that the data for the fourth exercise are not available anymore.

por Dr. H H W

5 de Set de 2019

Great insight for the practical aspect of TensorFlow, add value on top of Andrew's DL courses.

por Shivakeshavan

7 de Ago de 2020

Course was great but instructions for the coding exercises could be a little more explicit.

por Andy L

23 de Mar de 2020

A lot of repetition. Stack traces, and error messages in the notebooks are less than clear

por Luis D M B

14 de Set de 2021

For the most part it is easy but the project really makes you put effort and mind into it.

por chintamani m

27 de Mai de 2021

Enjoyed this course thoroughly by getting loads of useful tips and training from Laurence

por Fadhel A

25 de Jan de 2020

I hope it will be upgraded with graded weekly test (case study and building some models).

por Marcos V G J

25 de Set de 2019

Good content, but lacks exercises that forces us to code ourselves to solve the problemas

por CARLOS R H

14 de Jan de 2021

Incredible course. Only comment is that the last exercise wasn't explained very clearly.

por Shaun K

10 de Mar de 2020

Found course a little lighter compared to other deeplearning courses. But great overall.

por Lei W

30 de Out de 2019

will be nice to have non-third party programming exercises that are graded by Coursera

por Donal B

18 de Out de 2019

Excellent course. Would have liked graded coding assignments like in the first course.

por Hy G

6 de Jun de 2021

last assignment involve other scope such as numpy, hence more hints would be helpful

por Eduardo Z

24 de Jun de 2020

Great! Had some difficulties with the last excercise. But the rest was OK. Thanks!

por Phuoc H L

14 de Nov de 2019

More exercises should be available for students to practice and test their skills.

por Eran Y

20 de Jun de 2020

Some references to relevant code in tests would be nice, don't send me searching.

por Gregor F

7 de Jan de 2020

Straight to point with a lot of useful techniques! Interesting examples as well.

por SEBASTIAN I G T

26 de Ago de 2020

Nice course to learn about the basics about how to implement CNN's with keras.

por Sebastian M A

6 de Dez de 2019

No le pongo las 5 estrellas por la falta de ejercicios prácticos calificables.

por Arun P R

18 de Abr de 2020

Need to more specific about the instructions given for Programming Assignment

por Damon W

8 de Out de 2019

Good practical course. A bit heavy on visual images, but very informative.

por Ma Y

19 de Jun de 2020

Excellent materials and assignments! May be lectures can be a bit longer.

por Shaun M

23 de Fev de 2020

greaded assignments are needed as they help to understand the code better

por Ruben A M

20 de Ago de 2020

the course is good, however, I feel that the content is stretched a lot.