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

17,435 個評分


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 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....




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?



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.


3576 - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning 的 3600 個評論(共 3,640 個)

創建者 Daleen v T


the assignment submission is rediculous. in 37 tries surely my code is right somewhere along the line.

especially seeing as i get the right result every single time.

assignment 1 has bugs

創建者 Artem R


No theory at all. Not much explanation regarding TF classes, functions and their arguments. Just basics of TF. Most of the assignments can be solved with copy/paste from examples.

創建者 Alexey V


Just a brief introduction to TensorFlow, very basic and short on practical exercises. I literally copy-pasted texts from one notebook to another. Neither gives it a lot of theory.

創建者 Jonathan P


Programming exercises are quite sub-standard. Explanations in video lectures are too short and coarse. Andrew Ng's deep learning specialization far superior, stick with that

創建者 Dan G


The exercises are very repetitive and basically just copies of the notebooks in the course. There is no thinking required for this course. The material is very shallow.

創建者 18R11A04F1 C B


not to bad mouth, but this course is good yet being a beginner I don't suggest it as most of the code here is taught like alphabet that has purpose but no sense


創建者 Laha A


I would say it is a introduction to Keras rather than Tensorflow. The course not really touch tensorflow, it all about the high level API which is Keras in TF.

創建者 Maharshi R


The grader is very buggy. Coded a 1-Conv2d & 1-MaxPool model and caused the grader to run out of memory. However, a more complicated model passes the solution.

創建者 Mohammed E


the notebooks have a poor explanation of what should be done and unless you delete the last two cells every time you won't be able to submit



While useful, the experience with submitting the assignements was really inferior to what I'm used to with Coursera and DeepLearning.AI

創建者 Prantik R


This course needs to be more beginner directly jumps to advanced concepts without clearing the intermediates

創建者 Matthew R


Really superficial overview of tensorflow and deep learning. Very few concepts were explained in any real depth.

創建者 Suraj R


Resources shown in the video were not included as web links, so the course couldn't be completed

創建者 Rudrani G


A little too complex for beginners. Content must be explained from a novice point of view

創建者 John M


Some reading exercises had missing links and some code used a deprecated function.

創建者 Gautam K


Not a great experience with the assignments, especially the last one.

創建者 Malmansoori


This course teach how to use Keras more than using Tensorflow

創建者 41_AI&ML_Mehul S


Very Easy Course. A basic course marked as intermediate

創建者 Francisco R


It´s well explained but way too basic and short.

創建者 Xixi W


这课挺水的, 不如 deep learning specialization多矣。

創建者 Alejandro D


notebooks need work from the instructors

創建者 Deleted A


Course was not rigorous enough

創建者 Reinier V


Too basic.

創建者 Peter C



創建者 Adam F


This specialization is false advertising. It does NOT prepare you for the Tensorflow certification exam. It’s especially disappointing after taking the fantastic specialization by Andrew Ng, and makes this specialization feel like a cheap cash grab by Coursera and This series of courses fails to prepare you for three reasons:

1 – The certification exam is done on whatever is the current version of Tensorflow (v2.6 as of writing). You can’t expect a specialization like this to update every minor release, but much of the coding is still on the v1.X version!

2 – The certification exam requires you to work in the PyCharm IDE. The IDE doesn’t even get a mention in this specialization and it is all done through Google Colab.

3 – The material is covered at a very superficial level. I was hoping to walk out of it feeling confident in using Tensorflow on novel problems, but I’ve barely learned anything about Tensorflow that I didn’t already get from Andrew Ng’s specialization. There’re a few minutes of lectures (some weeks less than 10 minutes). The programming assignments are either pathetically easy, or lack any guidance on what to do (seriously sometimes there’s no instructions at all, you have to guess what to do by the variable names), or both.

Save your time and money and go elsewhere to learn Tensorflow.