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返回到 Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

學生對 deeplearning.ai 提供的 Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning 的評價和反饋

4.7
16,566 個評分
3,440 條評論

課程概述

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 upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. 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....

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AS
2019年3月8日

Good intro course, but google colab assignments need to be improved. And submitting a jupyter notebook was much more easier, why would I want to login to my google account to be a part of this course?

RD
2019年8月13日

Great course to get started with building Convolutional Neural Networks in Keras for building Image Classifiers. This is probably the best way to get beginners into Deep Learning for Computer Vision.

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3351 - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning 的 3375 個評論(共 3,458 個)

創建者 RANJITHKUMAR R

2019年11月5日

In Programming its difficult to learn for us

創建者 Mert Y

2020年8月18日

Moderate introduction to DL and Tensorflow

創建者 Samuel W

2019年8月14日

I hope they fix the bugs. So many bugs.

創建者 Edgar K

2021年4月24日

Nicely explained, but a bit too easy.

創建者 Navid H

2019年9月15日

The first assignment was really buggy

創建者 Dylan R

2019年4月24日

Too easy, notebooks gave away answers

創建者 Oussama B

2020年1月19日

More details in explanations please

創建者 Aditya

2019年4月22日

Great course, but needs more depth.

創建者 Reza Y

2019年3月30日

Forum is not supervised actively.

創建者 Svante K

2019年12月27日

Nice to do more hands-on tf.

創建者 Enyang W

2019年11月6日

too easy, which is not good!

創建者 Swarnadip B

2019年5月14日

became too complex and fast

創建者 Matías N S

2021年11月30日

It was really short.

創建者 Muhammad A B

2020年10月12日

lol it was hard haha

創建者 Giovanni Q

2022年1月5日

B​asic information

創建者 Udit G

2019年4月1日

Very basic Intro.

創建者 Itai

2021年1月4日

Little bit easy

創建者 Nikola R

2020年8月9日

Week 4 is weak.

創建者 Yanming W

2021年7月27日

can be better

創建者 Siddhesh D

2020年5月22日

nice Content

創建者 Masoud V

2019年8月19日

Just good

創建者 Javier P

2019年7月21日

too basic

創建者 Thomas A

2020年1月21日

Too easy

創建者 jiwon c

2019年11月18日

Easy

創建者 Madeline C

2021年5月5日

The content was pretty good, although I didn't feel like it added much that I didn't learn through deeplearning.ai's Deep Learning courses taught by Andrew Ng. There were a few interesting details specific to Tensorflow, but overall I felt the course was just information that could be found on Tensorflow's documentation--I did not feel guided through the process (but I realize that's more of a personal opinion).

The reason I am giving only 2 stars is that some of the homework assignments were poorly explained, leaving me confused about how to complete them (especially the very first assignment). Some of them were not updated, and other students had issues with this as well, because they wrote about it in the forum. Some of these issues raised in the forum were never addressed, but have just been sitting in the forum for months and even years. I think this is very unprofessional if you are going to take someone's money for a course. There should be more of an effort to update the assignments, clarify them--or, if you aren't going to offer guidance in the assignments themselves, then you should have someone actually responding to people's questions in the forum on a regular basis.