It was an amazing experience to learn from such great experts in the field and get a complete understanding of all the concepts involved and also get thorough understanding of the programming skills.
I really enjoyed this course, especially because it combines all different components (DNN, CONV-NET, and RNN) together in one application. I look forward to taking more courses from deeplearning.ai.
By Amandeep S•
Great for learning the basics! Love the instructors. They have a great attitude, and their commitment just inspires us to try to give something back to the community as well.
The exercises were a bit not well-thought of. The data manipulations seemed too specific. Besides, reading the Numpy/Keras documentation is not always worthwhile for beginners. So that was a bit confusing. But if you are good at Python, that won't be a problem.
Keep up the good work, the deeplearning.ai team!
I enjoyed the last course of the practice in tensorflow. There is a lot of note books to work with, the teaching was good and good referencing. Simple to understand, even though we might require more notes and also materials to work on the local jupyter notebook. Some simple code could be a night mare as you are using windows machine, linux, anaconda. As the courses progressed, there are more and more references to work with. Looking forward to the next set of courses.
By Meet D•
The course was wonderful. I can say time invested in this course help for my future AI journey.
As working in Automotive Industry as an Embedded Software engineer, I feel that I can use tesnsorflow library in so many application such as Machine Vision system for Factory Automation. I hope that I will try to develop an out the box solution using these learning. Throughout the course, I enjoyed learning. Thank you, Laurence, for the extra ordinary course.
By Andrés R•
Ok, this course was amazing, cause i pass a big large course in Udemy about Data Science for get a right way to complete my master degree tesis, and it was not enough for my, this course will help me to use my own data set that have been streamed for some sensors to analysed and predict them, before this course i don't know that CNN and LSTM is a right way to work with time series but, nowadays i know that is a good way, congrats Laurence and Andrew.
By Ravi P B•
Nice experience taking this course. Precise and to the point introduction of topics and a really nice way to start programming the models without going much into theory and a comprehensive and nice way to learn tensorflow framework. Mr. Laurence Moroney Sir has been excellent in all the courses and the conversations with Andrew sir are chilling as well as motivating. So its been a very good experience to take this specialization and learn tensorflow.
By Gabriel S•
Guys you are the best, i commented to Laurence to about six months ago that i finded my vocation with your course, and with the firts course of this specialization i didn't understand anything and i did the Deep Learning Specialization and i am really fascinated with AI and deep learning. By the way I am a mathematician and thank to you i am a AI research with TensorFlow as a tool for coding and building DL and ML models.
Really Thank you
By Andrei N•
Very detailed step by step tutorials of using Tensorflow with lots of effort to make things as easy to understand as possible. Especially, examples of generation a time-series pattern simulations looks very thoughtful and helpful for the course topic. A little lack of theory comparing to other courses by deeplearning.ai. Quizzes are quite undeveloped. But that is understandable, because the main goal of the course to introduce Tensoflow.
By Victor F L•
Really enjoyed the course and it definitely helped a lot with my own projects. I guess the only thing I felt should be different were some of the quizzes. It seemed to me that there was too much attention given to questions regarding little nuances of the code, while I believe they would have been more interesting and significant if they focused more on theoretical concepts of forecasting and modeling. Overall great course, nonetheless!
By Wirach L•
Before enrolled in this course, I've finished deep learning specilization taught by Andrew. This course really help me put everything together. I really hope that Laurence and Andrew keep releasing the course like this further.
Special thanks to Laurence himself, I really enjoy the way he taught. the way he progressively show how every some line of code done something and the way he wrap up in each weeks :D
By Tashreef M•
The overall course was good,. The topics were demonstrated nicely. However, the absence of programming assignment and assessments really keeps a hole within me questioning have I actually mastered it all. Would have been more fulfilling if there were some programming assignments, through there were chances for self-evaluation through given google colab assignments in the end of every week.
By Robin R•
I needed wonderful course and wonderful code to make me understand the way to solve the 'Time Series' problem. My English skill is awful, but the professor explained so, so well that I could understand pretty well. I knew the concepts of the models before I take this course, but I didn't have any opportunity to see codes realized! Thank you very much for offering me such a nice lecture :)
By Maximilian R•
Complicated ML-tasks as Sequence and Time-Series predictions are presented in a nice and easy-to-understand way (at least for me). Some of the techniques explained like image augmentation by ImageDataGenerator and creating synthetically datasets (especially time-series data) were new to me. So thank you for that nice course series and hope to see some more in the future.
By Rodrigo A Z M•
I didn't know anything about TensorFlow, but i had been study from the Andrew Ng courses, that are more focused on the theory. This course is the perfect complement, with the applications.
The only thing is that i find a little short the course, but anyway very good. Thanks Laurence and I expect to have enough time to see your another specializations!
By charles l•
This specialization was the ideal evolution in my DNN training after having taken Andrew Ng's classic ML course, followed by the deeplearning.ai DNN specialization. The instructor is excellent, as are the lecture notes, training materials, coding platform and examples! I am moving on to Advanced ML w/ TensorFlow on Google Cloud
By Ibrahim C•
This specialization was exquisite from beginning to end. Without going deeper into the mathematics of the machine learning and deep learning algorithm we learned practical uses of such algorithms using TensorFlow. All the quizzes and homework taught us a variety of techniques. I am very satisfied with this course.
By Wenlei Y•
I like all of the 4 courses in the entire series. Dr Moroney offers you the codes and you can play around by yourselves to better understand the concepts and the algorithms. My suggestion is: You can watch the videos and pass all the tests first and download the codes, and later you can study the codes in details.
By RUDRA P D•
This course is different from the other 3 courses of this specialization as it teaches a new concept i.e Time series. This thing has not been taught in the deep learning specialization. But everything that has been taught in this course is well explained. I have my gratitude to Laurence sir 's way of teaching.
By Anthony B•
At first, I thought this was tragically oversimplified. Then I realised that the real benefit of this course is the practical walkthroughs that it in the large consists of. Other courses can give you the theoretical foundations of Machine Learning, but this excels as a treasure trove of practical guidance.
By Ara B•
The real life example of using the TF was excellent. I like to see more utilization of the TF in real life, things like anomaly detection in human interaction or imaging interpretation in health industry or economical data and modeling in financial markets. It was an excellent course overall. Many thanks!
By E. L C•
Excellent course that takes an amount of time right at what is specified in the program description. All learning is productive - you won't be spending hours teaching yourself how to program and debugging code, but will rather spend all time evaluating code to further your understanding of the concepts.
By Karl J•
A great course introducing syntax and application of TensorFlow to time series data. Does not go very deep, but pretty clearly is designed to show you how to apply the TensorFlow library to common situations rather than teach about time series and forecasting, which is a huge subject in and of itself!
By Rahul R•
Wonderful course........these courses tough me that there is always room for improvement. Just we need to try with small steps in the right direction. DL is not just achieved using algorithms but need patience and trial and error too. Thanks to Laurence Moroney and Andrew Ng for this wonderful course.
By Niklas T•
Great Course, thank you Laurence and Andrew, as always I have enjoyed it very much! I think it was very helpful that in the first two weeks you explained everything step by step how to work with time series before moving on to how to make them work with NNs. Thank you, see you in the next course.
By Lijun L•
Wonderful class and it makes this complex task so simple. I really appreciate the hard work and effort from Laurence and Andrew to make this available to me. As what Laurence said, playing around those models and notebook will make a real difference on my machine learning skills. Thank you again!
By Michael B•
I absolutely love the deeplearning.ai courses. I previously took Andrew's course that went more into the theory, and this course was a fantastic compliment to it that focused more on putting deep learning concepts into practice via tensorflow. I look forward to any future courses they put out! :D