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 santiago r z•
Great courses made by great people. Every course shows how to nicely handle practical problems that need to be solved when implementing Deep Learning algorithm.
By Shreyansh G•
There should be more explanation on why the convolution layer was used in the time series predictions and an explanation of time series data generation code.
By Olena I•
Quite interesting and useful course. I wish there is more theory on LSTM embedded INTO the course, and not given as a reference to another course. Thank you!
By SMRUTI R D•
The practice problems could have been a bit more rigorous. you may think of prediction of stock prices as an exercise. Thanks a lot for this specialization..
By Mike B•
Excellent coverage of both the breadth of tooling now available in TF2.x and methods for shaping time series data so you can easily apply deep models.
By Roxanne E B•
That was a great Intro course for time series prediction! It was so much fun to watch the videos and the notebooks were very very helpful! Thank you!
By Mauricio G•
Es un poco abstracto este curso, recomiendo haber tomado el curso de Sequence Models de Andrew para poder interpretar mejor la información del curso
this course is strictured, clear explanations with brief videos. this is a great course to learn about machine learning especially in Tensorflow
By Patrick L•
It's quite useful. But it'd be great if some details could be more explicitly mentioned like the tutorial in Tensorflow. It'd be a lot clearer.
By Alex F•
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.
By Lokesh B•
Very insightful. Although I think, some of the quiz questions can be improved. Those questions were less related to TensorFlow or deep learning.
By Tiffany K•
great course! It was very helpful for implementing time series prediction strategies, and I was able to implement things I learned right away.
By Rafael d S T•
The course is great, I think it is much intended for beginners in Deep learning, specially those looking for the coding and practical aspects.
By Carlos R M H•
I really enjoyed the course. Laurence is an amazing teacher and listening to Andrew is amazing. Thank you so much for sharing your knowledge.
By Rajan K•
Great course to quickly add to your kitty important syntaxes to build a TF script of a Deep Learning model. Thank you Laurence and Andrew!!
By Satya S V•
This course has given me a very good insight into RNN, LSTM and BiLSTM models, their implementation for time series prediction. Excellent.
By Joseph O•
Very practical and highly informative for both beginners and experienced professional alike.
Highly recommend this course
By Carlos E•
awesome course and specialization :D. I highly recommend it to anyone that wants to gain experience building DL models with Tensorflow :)
By Narayana S•
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.
By Guillermo G•
Lawrence does a great job explaining all the concepts in this course. I think he's a really great teacher, and this is a great course.
By Jéssica d S C•
I don't know much more about Time Series, mainly recurrent neural networks and LSTM. This helped so much. Now, I need to practice.
By Lydia N•
Wonderful Course splendidly and thoughtfully compiled sets of hands-on exercises and information explaining how to use TensorFlow.
By Ulugbek D•
I love this course! Especially, how the instructor introduces ways of varying certain hyperparameters to achieve optimal results.
By Alex R•
great teaching and content.
i would have loved a deeper explanation of the code but it forced me to 'think more'.. which is good!