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Retour à Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Avis et commentaires pour d'étudiants pour Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning par

17,435 évaluations

À propos du cours

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....

Meilleurs avis


8 mars 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?


13 août 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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3476 - 3500 sur 3,640 Avis pour Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

par Raffaello B

11 août 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.


4 août 2020

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.

par Ibarra H R F

18 déc. 2021

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.

par Martin P

9 oct. 2019

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

par Nattachai T

15 déc. 2020

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

par Amine M I

6 janv. 2021

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

par Henrike K

27 janv. 2022

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

par Adarsh G

9 août 2020

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

par saumya

24 mai 2019

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

par Marco B

17 août 2019

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

par Ashim M

30 sept. 2020

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

par Pavel D

23 sept. 2019

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

par Aditya M

5 août 2019

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

par Oleg K

6 août 2020

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

par Abdul A B

4 avr. 2022

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

par Moustafa S

24 juin 2020

the grading system is so bad it slowed the progress too much sadly, but the instructions was so clear and good.

par Yoann P

30 mars 2020

Exercises are a little bit too simple. It is only a matter of copy/paste.

The github folder structure is a mess!

par Christian B

20 mars 2020

I expected a TF-focused course, this was more "basic synthax of keras". Thanks for the good work nonetheless!

par Josef O

1 avr. 2019

The code is not consistent at some places. There is no high level overview of how tensorflow actually works.

par sudheer n

11 juin 2019

Very brief introduction. Would have been great if the discussion was elaborate and mathematical at times.

par Shubham A G

25 août 2019

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

par Weiqing Y

1 oct. 2020

The assignment is too easy. In most cases, we only need to copy paste from the lecture example program.

par Rasul N

30 août 2019

Course was too shallow. I is targeted on only beginners and developers who has no ml or math background

par 17 7 S K

29 août 2020

It was a little complicated for me, Intermediate level was specified before I enrolled the course.

par Arjun r

3 juin 2019

Little too short and basic. Recommended for absolute beginners to deep learning and tensorflow