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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
17,106 個評分
3,540 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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3401 - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning 的 3425 個評論(共 3,571 個)

創建者 siddharth J

2019年7月27日

I felt the instructor is going too fast without covering the concepts of Neural networks, CNN and basics. Or maybe i need to take a supplement course for statistics and Neural networks by Andrew NG.

創建者 Hasan E E

2019年8月14日

A very good introductory course, however the algorithms working under Tensorflow was omitted heavily. Some technical background on how these algorithms work would enhance the quality of the course.

創建者 Stefano T

2019年9月18日

content and teacher are great!

google collab and the submit process is tedious because of the hidden restrictions (memory space, computation power) and the bugs of the exercise submission tool

創建者 Vic H

2019年4月7日

Oveall, a good course. Very good program examples. One area for improvement: fuker, more detailed explanations for ech line of code (both in the videos and the comment lines within the code.)

創建者 Mohamed A T

2019年5月10日

I was expecting an intermediate level course in which we learn how to create complex deep learning models using Tensorflow (and not keras).

the course is still great for beginners... I guess

創建者 Udaya B S

2020年12月9日

Didn't like the exercises too much. There was just 1 massive function where both model building and fitting was happening. Difficult to test. It's like - everything works or nothing works.

創建者 peilan

2020年10月14日

It was very difficult to learn anything from this course. I had to go through several TensorFlow tutorials https://www.tensorflow.org/tutorials before anything in this course made sense.

創建者 Thomas B

2020年4月9日

This was a very basic course entirely solvable in a few hours. It gives you some insight how to use Keras in TensorFlow, and why convolution is a good idea. It was far too basic for me.

創建者 Roberto F

2020年5月22日

Es un curso bastante práctico, se hace muy ameno y te engancha a seguir aprendiendo. Para ser un curso introductorio está bastante bien, aunque te quedas con ganas de profundizar más.

創建者 Keshav C

2022年5月18日

This course is great for begineer who wants to get hands on with tensorflow. But I feel that this course lacks a little bit of exploratory data analysis. Other than that great course

創建者 Raffaello B

2019年8月11日

It's not easy to complete all weekly exam for a lot of kernel errors.

It is as a good starting point for TensorFlow, but is not newbie course in Machine Learning and Computer vision.

創建者 KAUSHAL K

2020年8月4日

Prior knowledge of CNNs is required, instructor just walks through the modules, you shoild be prepared to learn stuff from the documentations on internet amd the sample modules.

創建者 Ibarra H R F

2021年12月18日

Great course to start learning about Tensorflow. However, I consider some quizzez may not contain specific technical questions like the "size"of the fashion MNST dataset.

創建者 Martin P

2019年10月9日

After finishing the amazing Machine Learning course, this felt little underwhelming. Hopefully the next courses will be more in depth.

創建者 Nattachai T

2020年12月15日

The examples almost show you how to complete every labs. It would help me more if you increase the difficulty in the exercises.

創建者 Amine M I

2021年1月6日

Too basic for someone with a maths and Machine Learning background. Probably better to upgrade to the Advanced classes offered.

創建者 Henrike K

2022年1月27日

Good beginner course on Tensorflow, but many errors in example codes and tests that do not seem to be fixed for years now.

創建者 Adarsh G

2020年8月9日

This Course is only useful if and only if u have prior knowledge about neural networks, and if previously used Tensorflow

創建者 saumya

2019年5月24日

It was a well-formatted course for someone just starting out with tensorflow as their choice of deep-learning framework.

創建者 Marco B

2019年8月17日

Very good course to start with TensorFlow but a lot of problems on coursera's servers, the exercises are crashing a lot

創建者 Ashim M

2020年9月30日

It was annoying to keep writing the callbacks when we could use the inbuilt callbacks already provided. twas alright.

創建者 Pavel D

2019年9月23日

Exercises are too simple and mostly mechanical, they don't force to explore the internal network details and concepts

創建者 Aditya M

2019年8月5日

It was a very basic course. Didn't learn much from this course. Expecting a better & in-depth dive in future courses.

創建者 Oleg K

2020年8月6日

Quite short course with not so much information as for a paid course. Other than that - good intro for the beginners

創建者 Abdul A B

2022年4月4日

The course was really good but had a brief explanation of stuff in it. Expected it to be a little more informative