good course , thank you deeplearning.ai !!

Excellent course!!! very well explained

Lawrence you are just awesome !!

Powerful stuff

Great course! Trainer clearly explains necessary features of keras, that are widely used. Very good code examples.

Just one issue: a dataset used in week 5 is unavailable in early january 2021 -- at least couple of days

Wow! What a course it is! Amazing. Thanks to DeepLearningAi and Laurence for this course. But the mentors should be more active in the discussion forum. Not everyone is not comfortable with slack.

Great course for you who want to know how flexible Keras is. From this course, I realize that both Tensorflow & Keras are flexible and simple to use with.

I started this course with the intention of learning the syntax needed to implement VAEs. This course satisfied that requirement perfectly! Thank you :)

It was a very interesting course and the teacher delivered it very well. Thanks to Coursera and its members.

In general, the entire course is well organized and boiled down to the most vital topics, so that the instructors could've given them in a given time. But, one thing that bothered me was the quiz. It's hard for me to tell that all quizzes were helpful for some of them were quite tricky to pick one answer or it was too specific or out of focus, in my opinion.

Interesting content in easy to digest sized parts. Maybe a bit too much repetation (lectures and coding screencasts). Some typos like units="1", which look quite amateurish. Homeworks were too easy. Too much fill this part kinda homeworks.

The quiz questions seemed a bit fuzzy sometimes. For example, there was a question on why do we loop through the residual blocks and the answer was to reduce the network depth. What's the context of reduction here?

Very useful and complete course for those who want to go deeper into tensorflow tools for make customize models in their own problem.

Very useful for developing our own networks

Ok, but Andrew NG Courses are much better

Just an overview straigt from tensorflow documentation without any practical use cases or anything that has more value than completely free youtube tutorials

Too easy tasks. This course can be passed in one day easily

As always Mr. Moroney was able to explain the topic super understable. Personally i was interested in a custom implementation of a fit function of the model. But i think got some ideas. To mention is that the solve the tests you have to go deeper into the TensorFlow API by using its Documentation. But the last thing i have to say, that just realized with this course yet, how powerfull Tensorflow is in deep. My Problem is and i want it to say it directly to Mr. Moroney. This kind of technology is only available for big companies or universities which have Hardware and data available and the time to fail with a problem. Okay, Thank you very much! I will keep on learning, now i am really pinned.

this instructor not only knows his stuff but he disseminates in a way so thoroughly that if you follow his prompts u cant help but acquire some of the hidden treasures that unlock machine learning - this course was an eye opener as the reverse chinese boxes of tensor flow unveil a new world of opportunities - from something seemingly as simple as pointing out how to get a look at the actual tests being performed to little gems that wil also help you bone up on coding itself - ready for course 2 - kudos - Andrew Ng is a tremendous educator in his own right he also has the ability to put the right people in the right places to help others Laurence Moroney is top notch -

Great, Unbelievable, wonderful, From usage of functional api to creating custom loss functions,custom layers, and finally ending at custom models. Sub classing has beingmade easy in this course and from basic to advance has been covered 'really' gradually . everything great about this course, like assignments were deeply in sighted as well as well guided. Lots of lots of 'hands on experience ' in this course.

Thanks to Course era and the Team.

Perfectly structured course with clear explanations and very easy to follow examples. Learned inception network structure, vgg, block based architectures, removed a lot confusion on I had on resnets that I learned earlier. I had some prior knowledge of functional API multi IO, but learning about model subclassing, custom losses, layers, lambda layers will make it easy to implement various custom model by myself.

The first course of Advanced Techniques specialization is great! I was afraid it could be too difficult after finishing only the deep learning specialization. It is an overview of creating custom functions and models, someone might think the assignments are too trivial but I think it's great as the author explains the concepts in understandable way. More complex tasks would be overwhelming.

This course actually solidifies what you cover in the 4 course tensorflow developer specialisation and goes slightly beyond what the Tensorflow certification handbook requires (at least round model architecture). If you wanted to go beyond sequential and functional API models and do more complex networks, then you need this course.

Exceptional resources, nice content and lectures, good explanation with hands on labs and assignments. I have learnt good advanced techniques regarding tensorflow and eager to apply in real time scenarios. Thank you once again coursera, DeepLearning.AI Special thanks to infosys springboard on grant of the subscription.

The course is built really step by step with many clear examples and repetitions not only about tensor flow but also to improve the way one writes code, efficiently and clean. Quiz and Programming Tasks are not difficult as all is very well formulated and the clear. Check capabilities reduce debugging stress ...