Mar 22, 2020
Really like the focus on practical application and demonstrating the latest capability of TensorFlow. As mentioned in the course, it is a great compliment to Andrew Ng's Deep Learning Specialization.
Aug 04, 2019
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.
교육 기관: Alex F•
Jan 30, 2020
A challenging journey to learn Sequences and Time Series to deal with the real-world, which is of much fun in the course. Let's explore together.
교육 기관: Lokesh B•
May 02, 2020
Very insightful. Although I think, some of the quiz questions can be improved. Those questions were less related to TensorFlow or deep learning.
교육 기관: Tiffany K•
May 14, 2020
great course! It was very helpful for implementing time series prediction strategies, and I was able to implement things I learned right away.
교육 기관: Rafael d S T•
Apr 05, 2020
The course is great, I think it is much intended for beginners in Deep learning, specially those looking for the coding and practical aspects.
교육 기관: Narayana S•
Mar 18, 2020
This course was very informational in how to build a deep learning time series model. I plan to use these techniques in my project work.
교육 기관: Jéssica d S C•
Apr 22, 2020
I don't know much more about Time Series, mainly recurrent neural networks and LSTM. This helped so much. Now, I need to practice.
교육 기관: Lydia N•
Jan 06, 2020
Wonderful Course splendidly and thoughtfully compiled sets of hands-on exercises and information explaining how to use TensorFlow.
교육 기관: Ulugbek D•
Dec 09, 2019
I love this course! Especially, how the instructor introduces ways of varying certain hyperparameters to achieve optimal results.
교육 기관: Alex R•
Sep 07, 2019
great teaching and content.
i would have loved a deeper explanation of the code but it forced me to 'think more'.. which is good!
교육 기관: Prashant•
Aug 24, 2019
Covers all the important techniques. Very elaborate, elegant, insightful. Thoughtfully gradual to help learn pros and cons.
교육 기관: Jorge•
Apr 07, 2020
It gives you the necessary tools to understand how RNNs and other works without making it too complicated.
교육 기관: Khin R P P•
Feb 04, 2020
Thank u for this course. But i still need learning about more time series. Hoping new lectures video coming soon.
교육 기관: divya p p•
Sep 16, 2019
excellent explanation and concepts on using tensorflow in real life datasets. very informative jupyter notebooks.
교육 기관: Saif M P•
May 22, 2020
I really appreciate all the things Laurence has taught. Now I am really eager to dive deeper. I am not stopping!
교육 기관: Naresh B•
May 25, 2020
I liked the course because it was easy to follow and complete. If someone wants to go deeper they always can.
교육 기관: Isaac D•
May 24, 2020
Awesome course, and I especially appreciate the notebooks that we get to go through at the end. We want more!
교육 기관: YANCHANGLI•
Aug 25, 2019
I'm glad to meet this course,it provide a clear excample how to write code and use tensorflow.Thanks a lot
교육 기관: Xueming L•
Jan 21, 2020
Thanks for the great course, it's very practical knowledge on how to use tensorflow to build up models.
교육 기관: Nnodu K•
Sep 10, 2019
This is a great course but I will advise taking Andrew's "Deep Learning Specialization" before this.
교육 기관: Alan S•
Aug 20, 2019
Fantastic course, I've been looking for guidance on Time Series with ML recently. And here you go!
교육 기관: Mahdi P•
Aug 13, 2019
I recommend it to those who want to start TS analysis with tf.keras. Lots of good stuff to learn.
교육 기관: Oscar S D•
May 06, 2020
Excellent practice exercises, excellent content, excellent teachers, excellent length of videos.
교육 기관: Govind M•
Feb 20, 2020
It was amazing. Learnt lots of techniques and i am looking forward to learn more from this team.
교육 기관: Bongsang K•
Dec 07, 2019
Thank you very much Laurence!! These courses really really help me. I appreciate again so much.
교육 기관: Ramji B•
Feb 13, 2020
Really a good course to start off with time series modeling, Thank you Lawrence and Andrew :-)