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908 Bewertungen

Über den Kurs

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....



Mar 09, 2019

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?


Aug 14, 2019

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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851 - 875 von 905 Bewertungen für Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

von Arif O

Jul 22, 2019

Not at the level of the courses from Andrew Ng. I expected it to be more about TensorFlow API than machine learning concepts. It tries to do both and does not excel in any. Got some stuff out it but you can probably say that by any course.

von Michael

Jul 26, 2019

Good introduction but lacks materials and practice to use after the class. Most of the materials its only referral. The trainer is good, except very shot videos and the setup on your pc are not discussed. But generally enoyed the lecture and learned a lot.

von siddharth J

Jul 27, 2019

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.

von Ari H

Aug 02, 2019

It’s an introduction. You learn some basics about TensorFlow, but it’s quite simple.

von Aditya M

Aug 05, 2019

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

von Wanqiong P

Aug 04, 2019

This course might be too simple for a software engineer.

von Mayur K

Aug 12, 2019

it was good but there is scope of providing more thereotical contents along with videos for the concepts beyond the scope of this course so one could get better familiar with the terms (e.g adam. cross entropy)

von Samuel W

Aug 14, 2019

I hope they fix the bugs. So many bugs.

von Hasan E E

Aug 14, 2019

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.

von Ethan V

Aug 14, 2019

content was fine and accessible, notebook environments were flakey

von Raffaello B

Aug 11, 2019

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.

von Yonatan N

Aug 10, 2019

This course was not focused on learning tensorflow as I had hoped. Instead, it felt like an into to neural networks course using tensorflow.

von Edward D

Aug 11, 2019

The homework is not designed well:1. The notebook is inconsistent with the colab env, and there are always problems here and there due to the inconsistency in tf version. 2. All 4 homeworks are similar, and it's simply a copy of the video lectures.

von Amilkar A H M

May 23, 2019

The explanations are good, but there are no graded programming assignments and this makes the course way too easy. There are only automatically graded quizes (multiple choice) and the questions are too easy. Full disclaimer: I already completed the Deep Learning specialization from so I guess that is partly why the course seems too easy from me. Still the lack of graded programming exercises is not acceptable given that this is basically a programming course. It's a shame to give this course such a low rating (3 stars) because the professor is good at explaining and the course in general has great potential, still without graded programming assignments I don't see how you can guarantee that the people with the certificate has at least a basic grasp of the programming skills required.

von Chiel B

Jun 12, 2019

Some course material is mixed up (e.g. MNIST and Fashion MNIST datsets and examples are 'convoluted';-). Also, the performance of the resulting models is overstated. I don't think it is very impressive to make models that still make mistakes such as qualifying a horse as a human (or worse: an attractive woman as a horse). The idea from the media is, that computers/algorithms beat humans in image recognition easily (e.g. recognizing diseases in medical images), but this is not evidenced by the contents of this course.

von Marco B

Aug 17, 2019

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

von Xiangzhen Z

Aug 17, 2019

Each video is a bit too short. And the assingment can't be smoothly finished and submitted due to environment issue. The creator should try to improve the user experience.

von Masoud V

Aug 19, 2019

Just good

von Ranjan D

Aug 22, 2019

The course was good enough on the high-level perspective but was expecting pure TensorFlow based implementation of the models instead of using the Keras high-level API.

von Sebastian S

Aug 22, 2019

Man there was no submission notebook that I didn't have to fix myself. Please fix those!

von Shubham A G

Aug 25, 2019

Lacks depth and complexity. The course is geared more towards complete newbies or high school graduates.

von Navid H

Sep 15, 2019

The first assignment was really buggy

von Rui P

Aug 27, 2019

Instructors, please take a look at the discussion forum and answer some questions. It would save students a lot of time. The content of the course was overall awesome though.

von Matthieu S

Oct 06, 2019

Very approachable course, probably a little too much. Assignments can be done by simply copy-pasting notebooks from the videos without any modification in the model. The generated images are also not that varied, and give skewed image of what humans should look like.

Anyhow, the videos are good, as well as the annotated notebooks, to familiarize ourselves with CNN and the Keras API.

von Pavel D

Sep 23, 2019

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