Chevron Left
Voltar para Convolutional Neural Networks in TensorFlow

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

4.7
estrelas
3,797 classificações
578 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

Sep 12, 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

Mar 15, 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..

Filtrar por:

426 — 450 de {totalReviews} Avaliações para o Convolutional Neural Networks in TensorFlow

por Gerardo S

Sep 27, 2019

the last exercise needed a big upload, made it imposible (for me) to do. This was a problem not related to the subject, should use data downloadable directly from internet.

por Super-intelligent S o t C B

Aug 10, 2019

Very good course that teaches you basics of convolutions, augmentation, transfer learning. Thank you to Mr. Moroney and the Coursera team for making it available.

por chaitanya m

Apr 15, 2020

The best course to do. Especially after the specialization course from Andrew. It is really helpful to code all the concepts you learned from Andrew course.

por Ujjwal G

Nov 16, 2019

I think most much of the course conent was same as the first course, this course could have been a little more advanced. But overall a great place to start.

por Subham S

Dec 23, 2019

The course content was quite good and overall understandable but the exercises and quizzes were quite easy, they could have been more challenging

por Pray S

Apr 23, 2020

The hand sign assignment need more explanation about using flow object from ImageDataGenerator since I just know only flow_from_directory object

por Abhiram

Mar 12, 2020

More detail videos or links,examples for important techniques like dropouts and for like multi class classification which may be optional

por Ghifari A F

May 14, 2020

The course is very useful for practical purposes. But this course didn't cover some advanced topics such as object detection and GAN.

por Brian ( B

Oct 23, 2019

very practical courses on implementation of CNN in tensorflow. Suggest student also take the deeplearning series with this series.

por Revant T

May 20, 2020

Programming assignments could have been better. The programming assignments at the end of each week were not challenging enough.

por Hang N

Feb 26, 2020

This course offers more executable functions than actually helping you understand (in-depth) how neural network really works.

por Przemysław

Sep 27, 2019

Instructors are really good, but in my opinion, this course should contain Object Detection and Object Segmentation topis.

por Bhabani D

Jan 06, 2020

Great introductory course to learn the application of TensorFlow with Keras in the field of Convolutional Neural Network.

por Ricardo F

Mar 31, 2020

Excelent course! The examples could be more elaborated, but this is a minor issue. Congratulations, and thanks a lot!

por Jose Q

May 01, 2020

Overall it was really good. Some of the code needed tweaking and the final test was not so easy to get right.

por Jaap d V

Mar 11, 2020

Thank for a great course. Please make the code samples it work for TF2.X the TF1.X has run out of shelf life

por Kevin H

Apr 12, 2020

End assignment uses skills not practiced in the course itself. Otherwise very smooth and well presented.

por Carlos D R

Feb 14, 2020

Es una gran continuación al curso anterior. No se puede hacer sin haber hecho previamente el otro curso

por Dr P M P

Dec 19, 2019

Course is good to start but it should include other aspects of neural network than image processing.

por Ana C

Jan 25, 2020

Very interesting course. I've learned a lot. I would like to have a little more advanced topics

por Yuliya M

Jan 06, 2020

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

por Dr. H H W

Sep 06, 2019

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

por Andy L

Mar 23, 2020

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

por Fadhel A

Jan 25, 2020

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

por Marcos V G J

Sep 25, 2019

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