YE
2021年4月20日
The concepts were clearly explained in lectures. The assignments were very helpful to gain a practical insight of the skills learned in the course.
JM
2021年2月8日
Hello, thank you again for the course. My congrats, once more, to the instructor on the videos!
by Gideon D
•2021年4月24日
good course, PROS: very well presented, clear amd methodic. appropriate tasks. CON the name suggests that RL would be a significant topic, while in reality it appeared only in the end of the course and important subjects such as TDlearning are missing.
by Rui T
•2021年11月3日
the content is presented in a bullet manner without any deep dive into any algorithm. You can get a good overview of various models in DL and RL, but nothing in details. I would not recommend any DS to use this course as a learning module. But maybe it is quite suitable for people without data science background. Even though, the presentation is not interesting. Just read-out of bullet points for each model.
by Seif M M
•2021年1月12日
Reinforcement Learning part needs to be a separate course and more details in it
by Ashish P
•2021年3月29日
Well prepared, gives a good intro to multiple Deep Learning algorithms and good examples to cover the major topics. A few more practice labs on CNN and RNN would have been awesome!
Cons : The only difficulty I found was with the english accent of our dear trainer. Sometimes it was really very difficult to comprehend what was being said and one needed to rewind the video multiple times and read the subtitles. Other than that, nothing to complain.
Cheers!
by R W
•2021年7月26日
This course has a larger scope than the other ML certificate courses and is a little out of date. While it introduces RL, it does not discuss TD learning or Deep RL. RL seems "tacked on". Similarly, there is a brief introduction to Attention, but no substantial discussion of Transformer models (I suggest dropping LSTM and talking just about Transformers). Unlike the other courses, which introduced the concepts and also covered practical steps on using these methods, the DL/RL course is a little light on the practical side of DL. There is little discussion of why particular architectures are chosen for specific problems or how sensitive those architectures are to various hyperparameters. You will know what DL, CNN, RNN (and to a lesser extent, RL) are is when you finish this course, but there's a big gap for any practical use of these tools, which was less of an issue for the (admittedly simpler/more scoped) topics in earlier courses.
by Bishal B
•2022年4月4日
The IBM Machine Learning Professional Certificate course is one of the complete course for someone familiar with python and wanting to learn different machine learning techniques. The second last course of this professional certificate Deep Learning and Reinforcement Learning is a good courses which tries to introduces Neural-Net, CNN, LSTM, Reinforcement Learning and other deep learning concepts. As deeplearning is a vast subject and there are several specialization available in Coursera. This single course provides a good introduction of the subject matter.
I highly recommend this specialization for anyone who is aspiring to become a data-scientist / Machine learning expert.
by Yasar A
•2021年4月21日
The concepts were clearly explained in lectures. The assignments were very helpful to gain a practical insight of the skills learned in the course.
by george s
•2021年9月7日
Extraordinary course, one of the best in coursera!, Reinforcement Learning and Autoencoders can have better examples.
by Luis P S
•2021年6月21日
Excellent from the theory and the practice! Great explainatory videos and detailed jupyter notebooks!
by Jose M
•2021年2月9日
Hello, thank you again for the course. My congrats, once more, to the instructor on the videos!
by My B
•2021年4月30日
The difficult terms are simplified enough for understanding and application in real life.
by Marwan K
•2022年3月30日
Thank you Coursera.
Thank you IBM
Thank you to all instructors
by Pavuluri V C
•2021年9月24日
this course is awesome
by Volodymyr
•2021年8月22日
Well balanced course
by Surbhi J
•2021年12月18日
Nice initiative!!!
by Neha M
•2021年3月29日
Excellent course
by Subhadip C
•2022年1月31日
The core concepts of Deep Learning are explained well in this course.
by Bernard F
•2021年3月18日
Very good. I learned a lot but the subject matter is quite extensive.
by José A G P
•2022年5月18日
Grades that depends on peer aasigments when there is no activity in the forums is not a good idea and a bad image for the institution (IBM)