Sadly disappointing. I was hoping for a more detailed presentation of TensorFlow and its capacities. But no words about the Keras level, TensorHub, and other TensorFlow really useful parts. Instead, we have a gentle "hello world" type of introduction to TensorFlow low level and estimation layers, and how to deploy an application to Google Cloud. Now it's not bad, just disappointing.

This course is more focused on integration of other google services in TF rather then being an Intro to TF.

The course could have more programming components.

there is very little explaination on code in this course everything you learn is from the labs .I recommend youll to add some more explaination on each part that would be very helpful

It doesn't give too much background theory and dives straight to Tensorflow specifics without giving a smooth intro

It is an easy course. The course could have been harder with graded exercises.

Great example code to help you gain an understanding of cloud ML Engine prior to understand the deeper insights needed to make better machine learning model. Good Tensorflow overview with the estimators API along TensorBoard. It is a good end to end touch of the "ugly side" of data science people often glaze over. It's nice to see code that shows you how to scale a model because all too often online courses just teach you basic ML and nobody teaches you what to do when you run out of room on your individual computer. I would say the concepts are definitely intermediate and a prior understanding of basic ML like training, testing, predicting is needed in order the other topics of the course.

the vid on why cloud ML was great: e.g. taking things to a new level by offering distributed training to users

the debrief of the last lab was key.

some pointers re the challenge exercises would be nice.

Great job introducing users to tensor flow, the estimators and how to train and deploy in the cloud.

Thanks

What was I looking at in the ML cloud log (last lab)?

Why was there a deadline for the assignments? I thought this was self paced learning. I like the material a lot yet my day job workload varies so having deadlines on labs that I would want to understand in more depth is sometimes not ideal. In any case. Great material . Thank you

This course introduce quite well about insight What is tensorflow, what its feature and what additional feature that you can use with gcp. One think that's minus from it's in my opinion is, sometimes the video that's explain the lab had a different version of notebook file that we use for the lab. I know maybe it's just the instructor that add more line of code to explain further instruction, but in my opinion I prefer if the instructor can explain the same with the solution lab, so we can play it more around with it's. But it's just a matter of personal taste, so it's okay in my opinion and in general this course is great

It's a very good course will teach you fundamental building blocks of building a good DNN model.Though this course look small in terms of time but it has lots of assignments.

It will teach you from basics of keras sequential and functional api.Along with how to pass data in the model for training for large scale as well as small scale .This course extensibly dealt with tf.data api and how to use it effectively for training with very large data as well as small data.

Just start! Stick with it, and by the time you get to the end you'll have an intuitive if not race-day functional grasp of ML and the wonderful Google Cloud Platform. This is a great way to plot your first steps to ML mastery! Highly recommended by one who has survived thus far and still hasn't geeked away all my non-techie friends.

It is really a divine knowledge, If you are really a new to in the area of data science and especially to Tensor flow, With in a few weeks, I learnt so much and got a humongous confidence in building a model, Still long way to to go, But this course is really worth. Thanks Google Team and Coursera for putting things together .

It is a great course that does not go to deep into Tensorflow, but shows exactly with what purpose it was designed and how you can use it depending on your needs. There is also very nice example code that helps you start your own projects from a very nice and clean structure. So far, the best intro to Tensorflow I have seen!

Amazing beginning of modelling to actual production, and a unique work flow that is relatively easy handle. Only thing I missed from the course was a more information, examples and explanation of how to actually produce and build the task.py file.

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

This course shows show how to build models in tensorflow what is necessary to train and validate them, then you can check your work using tensorboard in a graphical way. Lastly you can expose your ML model using gcloud.

This course is helping to understand how google tackle ML at high level. Thanks to this course you get an opportunity to play at Google AI Platform and sense the power of ML with such hi tech company as Google.

I feel this course very valuable because it taught how to create an automated service in cloud with very huge data and working with distributed systems in production environment with minimal time.

Quite a technical course with sophisticated lab sessions, but I got good hands-on experience on building NN models using Keras and TF functional API as well as deploying the model in Vertex AI.

Excellent 'Introduction' to TensorFlow 2.0 (HINT: 'Introduction' does not mean 'Easy').

Evan Jones is at his best giving rapid intuitive explanations of advanced topics in deep neural networks.

pretty good. some of the code in the last lab could be better explained. also please debug the cloud shell, as it does not always show the "web preview" button ;) otherwise, good job!

Nice introduce, might be more on introduce the model structure, because I still need to read additional notes to locate how to train my deep learning model online.

very useful for getting up to speed on tensorflowa little inconvenient that you have to start the infrastructure for each lab, takes minutes (5-7)

Wonderful course and specilization to deep dive into ML. Take your time and work on this course with all your heart to get in to the heart of ML

Excellent course!!! It is the best way to really understand TensorFlow and getting to know its real potential. Thanks to all the instructors!!!