Kursteilnehmer-Bewertung und -Feedback für Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning von deeplearning.ai

A rather basic course to introduce you to Tensorflow. The exercises are rather difficult due to the lack of information provided. However, the course is informational, and those who have completed the Deep Learning Specialization previously should have no trouble completing this course.

Overall , an amazing course , and possibly a fruitful use of my time.

The course was smaller than expected , but it opened my eyes to a new method of learning - Learning my trying things out - so instead of getting glued to the lecture videos , I spent most of my time trying things out

I always thought Tensorflow to be a framework that had so many things that needed to be taken care of, actually it is quite the opposite. Today I came to know why it is known as a framework and not a library. Thankful to the team who created. Loved every-bit of this fast paced course.

This course comprises of short to-the-point videos and lots of materials to read and explore.

I do recommend someone who wants to opt this course should check out the first 3 courses in deep_learning specialization (You don't have to enroll in coursera as it is available in Youtube) .

A very well structured and fast-paced course to get you off and running with TensorFlow and ML even if your coding skills and python knowledge are limited or rusty!

And Laurence does a great job with his conversational style to give you the confidence to press ahead. Thanks, Laurence!

Took this course and specialty because I have DL projects coming up. Had some background already but Laurence's treatment of material was excellent. I had seen a very positive review of one of his YouTube videos and he did not disappoint. Now I can explain ML to people much easier.

Great course to learn building computer vision models using TensorFlow starting from basics of TensorFlow with a linear model to building complex models to multi-classify on grey MNIST images, classify humans vs horses from colored images, image processing, convolutions and so on.

Thankful for this course. It is a gentle intro to ML and CNNs. There are a few sharp technical edges (because of old versions of TF and grader not working 100% correctly). I left feedback so I hope they have the time budget to address those issues. But otherwise great course.

I think this course fulfilled my expectations. I was looking for machine learning bases in computer vision and thanks to the exercises and class dynamics I was able to learn, in details, how a CNN works and what aspects to take into account when training this type of algorithms.

Really nice introduction to neural network. It gives the intuition behind TensorFlow and you quickly build simple neural networks with interesting data set. At times it does not go very deep into the underlying concepts, but great for a first glimpse into this interesting field.

Easy start to coding neural networks in python. Covers a variety of use cases and just the right course for a beginner in tensorflow! It does require reading through or viewing some off course material on youtube, which are great by the way, but an engaging start to AI anyways.

Although i was familiar to TensorFlow earlier, but this course provided me a more deeper and

clearer picture of how things are working behind the scenes and how can we actually

harness the power of TensorFlow to develop modern AI applications. Great course,

love the instructor.

Laurence's style is concise yet clear and giving enough information to digest new material. He and Andrew really complement each other's courses. Highly recommend this course for getting hands-on practice with TensorFlow, CNN, DNN. On to the next courses of this specialization!

It was interesting course! I have finished some courses by Andrew Ng before, they were more theory focused, while this was pure tensorflow/keras practical guide. I like how fast it is, for me it was very simple, but useful to check and fill the holes in my knowledge! Thank you!

This course is great for anyone who wants to learn how to make models in deep learning, visualize the models and get a feel/intuition of how things work. This course does not go into mathematic details and is recommended for anyone who wants to learn how to make basic models.

This course was very helpful for me knowing that i have some level of understanding in deep learning but i have never implemented models that use neural nets or any kind of deep learning model and this was my practical gate into deep learning, so thank you very much Laurence

I started other courses about AI and although they are quite good, there was "too much" mathematics to me. This course has clear examples that go directly to the matter and shows you how to use those theoretical concepts shown in other courses. I really enjoyed the course!!

I learned a lot about how the simplest networks can be implemented using Keras and TensorFlow, then I learned how to use this tool to build simple classifiers than can do a binary classification or multi-class classification task. Hope to learn more in this specialization!

Good for Introduction to TF as a powerful tool. Learn't lots of new stuff. Perfect addition to the Deep Learning Specialization by Andrew Ng. Loved the short 1-on-1 discussions between Laurence and Andrew. Looking forward to more cool stuff to learn in the other 3 courses.

Really impressed by the work of the team. It is designed specially for the beginner to advance their career and be expert the emerging AI field. With the help of high quality videos and project based assignment one become expert hoe to deal and tackle real world problems.

I think it is a great 'light-weight' course on how to use the TF framework. Laurence does not cover the theory behind because Andrew covered them in other courses. That means that a person taking this course should have some basics about the parts that run under-the-hood.

I like this intro class very much. I have some training before and I took Andrew Ng's Deep Learning Certificate. This intro course is not necessarily hard, but it actually covers quite a few areas that were not emphasized before. I highly recommend this for other people.

Very nice introduction to Deep Learning in practice. However, I personally believe the student who should take this course must have a solid background in order to understand the concepts and the effects caused by the changes made, since they are very lightly presented.

Course is a very well-structured introduction to Tensorflow as tool for building neural networks. It's easy to follow and has good template colabs that are understandable and easy to build skills and understanding of more and more complex features of Tensorflow easily.

Excellent course! I highly recommend (as Andrew suggests) doing the Deep Learning specialization first, so that you learn what's really going on. This course is great as a follow on to help you learn how to do the implementation of the concepts taught in Deep Learning!