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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

17,245 個評分
3,573 條評論


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.


3076 - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning 的 3100 個評論(共 3,602 個)

創建者 曹杰


good set up of examples that allow you to go from the simple case to more advanced cases. a good start point for beginners.

創建者 Dirk H


The class is good for persons who are new to Data Science and want a practical entry but does not go very deep into theory.

創建者 YASH R


Week 4 was not explained as good as other. I still face the problem with the cocept of week 4. Rest everything is great.

創建者 Shabab H


Week 4 was somewhat disappointing, spent a lot of time in boilerplate codes. Was expecting to learn more about ML ideas.

創建者 Bishmer S


Brilliant introduction to the topic sadly let down by bugs and errors in the Jupyter notebooks.

Still well worth taking.

創建者 Jayanta S


The course in itself was great and the exercises were easy. But the sound quality in the videos should have been better

創建者 고종경


this lecture provides a good starting for learning Tensorflow.

there are good exercises with doing actual python coding,

創建者 René P


Had some problems with the automated graders. I had to remove two JS cells from each exercise to get a correct grading.

創建者 Mayukh S


It has more of keras and less of tensorflow. The course structure is good. A little knowledge of CNNS would be helpful.

創建者 Matthew


Good intro to Neural Networks, but would recommend going through other Machine Learning courses if a complete beginner.

創建者 Phatarapran S


Some theories arent explained but overall, as a student, I obtained some experience on making a NN model by tensorflow

創建者 Noel B


The content of this course is fantastic. The only reason for a four-star review is due to the troublesome auto-grader.

創建者 Kofi D A


Always amazed at what coursera has to offer..if anything it has given me purpose as to what i want to pursue in future

創建者 Franky L C H


Very easy to understand the contents especially using the high level API such as Keras. Very recommended for beginners

創建者 Aviral T


such a nice course to learn about tensorflow. i used these knowledge o enhance my technical skills as a ML programmer



Good course for beginners. Althoug best resuts will be for those who have come through Andrew Ng's inintial DL course

創建者 Carlos R


In general the course was nice. I just got some issues dealing with TF 1.x and 2.x. Anyway, I recommend this course.

創建者 Pooya N


I thought this course is more focused on the basic elements of TensorFlow, but it was very heavy on computer vision.

創建者 Daniel P G


Very beginner friendly. Evaluation task could be a little more challenging than just copy-pasting the example code.

創建者 Radoslava M


It is good, only it starts very basic and later assumes a lot of previous knowledge. But overall very informative.

創建者 Alexander B


I liked the course as it is practice oriented, but 4 weeks is too long for it. 2 weeks would be more than enought.

創建者 Greg K


There are some issues with code in the graded Juypiter notebooks that keeps the grader from compiling submissions

創建者 Cheng H Z


Each chapter contains too less contents. Should compress the contents more so that it will be easier to navigate

創建者 Ashiq I


No graded assignments, need more clarifications on how the params are calculated in model summary in tensorflow.

創建者 Dennis K


The course is a great recommendation for those interested in improving their AI, ML skills through tensorflow.