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学生对 DeepLearning.AI 提供的 Convolutional Neural Networks in TensorFlow 的评价和反馈

4.7
8,215 个评分

课程概述

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 DeepLearning.AI TensorFlow Developer 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 Developer 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....

热门审阅

MH

May 23, 2019

A very comprehensive and easy to learn course on Tensor Flow. I am really impressed by the Instructor ability to teach difficult concept with ease. I will look forward another course of this series.

CM

Apr 30, 2019

A patient and coherent introduction. At the end, you have good working code you can use elsewhere. Remarkably, the primary lecturer, Laurence Moroney, responds fairly quickly to posts in the forum.

筛选依据:

976 - Convolutional Neural Networks in TensorFlow 的 1000 个评论(共 1,269 个)

创建者 Meenali S

Oct 29, 2021

Instructions of assignments for Course 2-Week 4 were not clear. Overall the course is very good.

创建者 Antoine A

Jan 2, 2021

Good course overall, but the exercise of the end of week 4 was really badly conceived/explained

创建者 Ana C H

Jan 25, 2020

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

创建者 Tudor M

Mar 10, 2021

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

创建者 Yuliya M

Jan 6, 2020

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

创建者 Dr. H H W

Sep 5, 2019

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

创建者 Shivakeshavan

Aug 7, 2020

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

创建者 Andy L

Mar 23, 2020

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

创建者 Luis M

Sep 14, 2021

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

创建者 chintamani m

May 27, 2021

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

创建者 Fadhel A

Jan 25, 2020

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

创建者 Marcos V G J

Sep 25, 2019

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

创建者 CARLOS R H

Jan 14, 2021

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

创建者 Shaun K

Mar 10, 2020

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

创建者 Lei W

Oct 30, 2019

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

创建者 Donal B

Oct 18, 2019

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

创建者 Heinz D

Nov 20, 2021

Good lecturer, interesting content. But do not expect to cover the subject in depth.

创建者 Hy G

Jun 6, 2021

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

创建者 Dolrie S

Apr 23, 2023

Overall is easy to grasp but if the programming assignment given more will be great

创建者 Eduardo Z

Jun 23, 2020

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

创建者 Philip L

Nov 14, 2019

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

创建者 eran y

Jun 20, 2020

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

创建者 Gregor F

Jan 7, 2020

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

创建者 SEBASTIAN I G T

Aug 26, 2020

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

创建者 Sebastián M A

Dec 6, 2019

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