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10,763 Bewertungen
2,267 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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176 - 200 von 2,270 Bewertungen für Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

von Anupriya G

Apr 03, 2019

Excellent course to start Deep Learning with TensorFlow. Step-wise brief description gives good insight about the subject which help in building up minimum understanding required. Thank you Andew Ng, Laurence Moroney and for this wonderful course


Jun 24, 2020

This course could lead you in a few hours to build a fully advanced classifier using TensorFlow and Convolutional Neural Network. It is purely practical which I was looking for after Deep Learning specialization. Well prepared, all coding and was lots of fun.

von Jayadev B

Jan 24, 2020

Really loved taking this course. The clarity on every explanation given by Laurence on this introductory course is phenomenal.

Laurence and Andrew - Thank you for inspiring millions and bringing in online learning to a whole new level.

Thank you,

Jayadev Bhasi

von Abdul R K

Jan 15, 2020

This course is a very practical into to ML with TensorFlow, it focuses on live coding examples rather than a lot of theory. I highly recommend it especially if you have ML background and just looking to refresh your knowledge and explore TensorFlow and Keras.

von Phillip B

Jun 15, 2019

Finally, a course that describes step-by-step how these networks process the data. The instructor was warm and likable. The notebooks contained documentation that aligns with the lecture. I plan on taking this course again to further concretize the learnings.

von Wenlei Y

Nov 21, 2019

This is really a great course. The professor teaches the use of Tensorflow from very simple models to fairly real-life examples. He also raises inspirational questions and leads us to playing around the codes to better understand the theory behind outputs.

von Adrian M

Oct 19, 2019

Really well paced course and amazing material. Exercises leave you wanting more, in the sense that they really spark your interest to research more about the topic. Assignments are well structured and lend themselves to a seamless learning process. Thanks!

von Uday B S

May 14, 2020

This is wonderful course. I always wanted to learn Deep Learning concept and apply on real image data, but I did not know where to start. This course gives me a path to learn and apply deep learning on images using TensorFlow with very few lines of code.

von Avaneesh K P

Jan 28, 2020

Really helpful course, everything that they teach becomes really easy to understand. This course has elevated my interest in AI and I am really thankful to courser for providing such a course for students and spreading the knowledge throughout the globe.

von Ross P

Jan 14, 2020

A good course to take after finishing up the deep learning specialization from The videos are great review, and the assignments have much less completed for you meaning you have to do the work and learn out to practically use TensorFlow!

von Vasily K

Dec 14, 2019

Solid course. The exercises are a bit too much pre-setup, but not by much. Layer visualization is used extensively but unfortunately not covered at all. I think it should be as it is important for understanding and troubleshooting. Nevertheless, 5 stars.

von Ashutosh A

Mar 22, 2019

Good introduction to Tensorflow and its semantics. Looking forward for another courses in this lineup.

Thank you Moroney, Andrew Ng and Coursera for a fantastic introduction course.

I loved the projects at the intro stage, and these were so well explained.

von Dustin K

Aug 04, 2020

A basic introductory course, good introduction to get up and running with basic Tensorflow. Did a good job focusing on the task at hand and a good job referencing outside material for depth where it was useful but out of scope for the aims of the class.

von MD. A K A

Mar 24, 2020

This course helped me to learn Deep Learning in the same way a machine learns from data. Without having much theoretical knowledge, now I can build basic model & run it. Thanks a lot to team for proving such a practical oriented course.

von Chidvilas K R

Dec 10, 2019

I really like the way the course was simplified. I would recommend people to explore Machine Learning and Deep learning specialization offered by Andrew NG for in-depth knowledge of the concepts. Overall, this course was amazing and my time worth spent.

von Abhishek M

Apr 22, 2020

Tried multiple MOOCs to learn tensorflow. By far the simplest to catch up on and most well explained. Explanations were given were each line of codes, quite literally. The practice notebooks helped out a lot in getting my own hands dirty with the code.

von Gopinath R

Apr 03, 2020

Its really superb course. Easy to understand the image classification problem and solve using deep learning neural networks. Practical approach and hands on assignment helps to get confidence for using CNN and DNN for image classification applications.

von oon a

Apr 07, 2020

This course not only has great contents also have a straight forward way to teach introduction for Deep Learning with TensorFlow. They skipped the complex math and Neural Network components in the front to focus on Machine Learning cases to solve.

von abhishek a

Nov 05, 2019

Great Course!!! I am very grateful to team from providing a platform to learn this kind of stuff which not only provides new employment opportunities but also provide confidence to do a lot interesting stuff !!!

Thank you very much!

von Alejandro M

Jan 22, 2020

Excellent, you learn the tools in code to go straightforward from theory to coding, solving the problem of a lot of code read large sets of images and label their classification. The course also reinforce fundamental concepts of machine learning.

von Ravi

Aug 28, 2019

Great course - especially considering how easy Keras makes in creating DNNs and CNNs. Thoroughly enjoyed this course and would highly recommend to anyone who wants to learn how to prototype and build quick model POCs for your business objectives.

von Richard M L

Apr 05, 2020

Loved the course, thank you! I do wish that the exercises emphasized testing validation more as opposed to just training validation. I'm hoping to learn how to use callbacks to cutoff training after a certain testing validation level is reached.

von Ka M W

May 17, 2020

Very good explanation and notebooks to explain and practice contents. The auto grader is very frustrating though and sometimes the Exercise notebooks could not be open (on Mac Safari). In such cases, you will have no chance to pass this course.

von MD S A

Apr 06, 2020

This was the one of the best course I have came across which give a complete understanding of artificial intelligence and how to user neural networks to any problem,It is a course for beginners with a lot of hands-on experience with TensorFlow.

von Amit P

Feb 22, 2020

Hands on and well structured. Doesn't overwhelm you, yet you get a good sense of having programmed and learnt it. Like the idea of making notebooks available in collab and for download so that assigments can be tried out and you can experiment.