Learner Reviews & Feedback for Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning by DeepLearning.AI

As someone who has used Tensorflow and Keras before, this course was a good refresher and even helped me learn new things such as callbacks and image generators.

Its a short course which introduces you to basics of building neural network but if you know that you can definitely skip this course and maybe do the next one.

Instructor helped me to understand the value and usefulness of the subject matter covered by the course.The assignment were relevant and helpful to my learning.

I would like to thank Laurence Sir for creating this course in collaboration with DeepLearning.AI and help us to give the recognition of Tensor-Flow Developer.

Cool videos, but the course is a bit tiny and basic. Also, it will be great if Colab tasks are more or less different from the graded programming assignment.

it was a little too basic. I was expecting to learn tensorflow and not keras.

And also the grading system is a struggle.

Apart from that the teaching was great

The course was very preliminary in nature. I could complete it within one week. May be it is designed for someone with no introduction to Machine Learning.

A brilliant start for a learner who is eager to engage in AI. For me, a Chinese practitioner, the Chinese subtitle could be uploaded as soon as possible.

It is definitely an exciting course to kick start your experience into deeplearning . Kudos to the course instructor Laurence Moroney for this course .

These courses are a great complement for the theoretical deeplearning.ai courses, I recommend you do this after and learn more about the modern tools.

Great material. The grader and jupyter notebooks need to converge with the github repo. Copies of original assignments on github would really help!

The ideas were explained in a really good manner. The level should have been more challenging for programming assignments with less hand-holding

A good intro to computer vision. You may want to supplement your course with external content to fill in gaps that will differ for each of us.

Great introduction on Tensorflow and some key concepts of NN, however I find the course fees is slightly too expensive for such an introduction.

A good introduction to TensorFlow. Anyone with just a little programming experience will be able to get started in this very exciting new tool.

It was a grate experience to learn Dnn, Cnn, keras , tensorflow . Concepts where explained with examples which made course easy and intesrting.

Course is pretty good except for one issue, arugument expected by logs.get() in notebook is 'acc' but video in course urges to use 'accuracy'.

There are some technical issues with submitting the assignments. These can be easily overcome, take some time to find out how to do it though.

The course is great, If you have already done deep learning specialization by deeplearning.ai then this course will give the finishing touch!

too easy for experienced programmer, only introduce keras instead of full tensorflow api, it will helps if an advanced course can be offered.

Quite a good and practical course work....however the problem set needs to have more difficulty. Overall a nice course...worth recommending!

The course material features code snippets, that aren't well explained. Please leave some resources for how to read the os instructions etc.

It was a pretty amazing course. Beginner level, not course heavy . Being a beginner, I didn't even for once feel tuned out or lost interest.

Tight, simple coverage of the subject. Possible to move quickly through the course, if the user is familiar with this level of TensorFlow.