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.
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.
By Andrei I•
The course is merely a walk-through some Jupiter notebooks of Laurence. There are no proper slides with explanation of what's going on. I also don't see much activity from the course creators on the discussion forums. It is incredibly easy to complete the course without forming any deep understanding.
The weekly programming exercises are not even automatically checked for accuracy.
By Praful G•
If you already have good knowledge of Neural Networks like CNN, RNN, LSTM, etc. then only opt for this one. Because they keep referring to previous courses in the specialisation for these. Also, they are only writing the code but never cleared about, what they are writing and why.
By Ebdulmomen A•
quiz's are pathetic! throughout the whole course the instructor talks about the advantages of RNN and LSTM and CNNs for time series prediction while not being able to prove this not even for one in the entire course, what a disappointment !
By Kaushal T•
The course was not as detailed or in a flow like I expected from a deeplearning.ai course and the editing was also very bad, one thing was shown and something else was spoken.
By Victor H•
A bit too high-level with lacking explanation on intuition. E.g. Conv1D was added to LSTM layers which helped reduce loss value, but did not go into the explanation of why.
By Tomek D•
Course is very quick and does not cover the topics in sufficient depth - explanations and discussion are all very brief.
By Yevhen D•
This course will be good only for very beginners. It's not deep and challenging enough.
By Sergey K•
To make it better you have to develop more challenging and GRADED! exercises
By Sujin S•
Poor audio quality.. Cant even hear in full volume
By Gabor S•
Very bad quizzes, no challenge whatsoever.
By Bojiang J•
Too much repetition in the content.
By Ankit G•
Could have been better
By Magdalena S•
By Xiaotian Z•
I do hope that the deeplearning.ai team could spend more time polishing the materials instead of just throwing the Tensorflow docs/sample codes and going through them superficially. Please also change the instructor as I really doubt his professionalism/experiences in ML practices despite his titles. Please, please don't ruin your brand, deeplearning.ai. I wish to see more in-depth courses like the ones taught by Andrew.
Maybe I had wrong expectations from this course. But to me it felt like the material in this course was extremely superficial. I was hoping to learn something, but it turned out to be a very basic overview of the material. Everything boiled down to "compile + fit" without the explanation of nuances associated with time-series settings.
By Brad N•
The last two parts of this 'specialization' were pretty much useless. Here's some code, let's look at the code three times, let's take a kindergarten quiz, let's look at the same code again, here's the answer you can copy if you bother doing the exercise.
By Yanghao W•
This is a quick introduction of using TensorFlow for prediction without any explanation for helping students understand the codes, the rationale, and the technical details we need to know for doing practice in daily work.
By sukanya n•
Gives a very shallow understanding. You can easily pass the quizzes without even needing to go through the colab code notebooks. This is unfortunately quite a good example of 'money can buy you a certificate'.
By Sidharth N•
Extremely shallow ML course, with certain videos showing nothing more than running a few code snippets. More depth and explanation could go very far in improving the overall experiece
By Arun A•
Really disappointment. Wonder what is purpose. After few videos it seemed like synthetic data is created just to create course. Lost interest very quickly
By Maged A•
Extremely shallow. It's just to have an initial idea but not in depth.
By Mehmet O•
To be honest course content was realy week.