one of the excellent courses in deep learning. As stated its advanced and enjoyed a lot in solving the assignments. looking forward for more such courses especially in Natural language processing
The hardest, yet most satisfying course I've ever taken in deep learning, by the end of the course I was doing stuff that was borderline sci-fi and that was just "introduction" to deep learning
By Warren V•
The Introduction to Deep Learning Course is a thorough and theoretically sound course. My concerns are that the Tensorflow code within the assignments must be changed to version 2 and that the quality of the instruction from the instructors is uneven.
By Suewoon R•
Great course and materials. I'm glad that I'm learning a lot from this course. I don't bother with different English accents but a couple of lecturers having too many pauses really keeps me from focusing on the lecture.
By Paco J A•
Esta muy bien el curso en términos generales, pero para mi gusto falta explicación de algunos temas más en profundidad. Además, los videos de una semana en concreto cuesta seguirlos por el marcado acento hablando inglés
By Samson D•
The video content is quite good and I've learned a lot. However, the preparation for the exercises is insufficient and the format of fill in the blanks is not really as educative as it is confusing.
By Danish S•
The title says Introduction to deep learning, whereas in introduction video Prof. Andrei says it is an advance course... I wanted to learn from the basics
By Mohamed E A•
there is some lecturers are not talking clearly stopping too much while explaining, the materials is very good with high quality
By Dizhao J•
the pronunciation of the lecturer is not clear and too fast, hope they could speak slower and clearer
By Shubhra S•
The introductory course is good. But I think you should include more reading material for RNN
By Kamil M•
Neural network introduction is conducted very chaotic. Not all topics are explained well.
By Ширнин А А•
Не понравилось последнее задание, где нужно людей оценить, потому что работ нет 20 дней
By Siwei Y•
先不说里面某位小哥嘎嘣儿脆的口音和销魂的语速。只说课程内容本身，首先有些讲义逻辑性太差，某些数学表达式有明显错误， 最后 作业里面的低级错误真的不应该犯。
By Mathieu D•
not enough content in the video to pass the exam.
By Kushagra P•
The RNN week was very bad.
By K163810 M S•
theory was good but at the time of Assignment i really felt blank as i have studied nothing, which i mean there is no technical support given in lectures, may be this is my fault that i cannot cop-up to the complexity. but still there is a room for improvement may be 5 to 10 min video to help student understand what they are supposed to do.
starting with coder decoder i literally gave up on assignment. so i had to search web and i felt lack of external matters too from where i could get help i am hoping that this response will the up coming student.
i focused on the things need to be improved but it does not mean that the course was not good over all. starting week was quite good i rate those week 5/5 stars. but later on the journey i had problem in understanding the pronunciation but than i realized its not that it is the material i am not clear of.
By Fariman G•
The lectures and lecturers are good. It is very cool that there a lot of contents.
However, there are no pdf materials of lectures and it is inconvenient to search information in video lectures.
Some lectures are a bit of outdated for example there are a lot of lectures about rnn but transformers are not covered. But it is ok. considering that transformers had become popular after this course was created.
The main problem with this course is that almost all assignmens are severly outdated. You should use tensorflow 1 to make them! It is not complicated to work with tf1 but it is very inpractical. The notebooks do not work in colab because it is so outdated. So you should wait 2-6 hours until the model learns weights. It is very frustrating. The quality of the most tasks is not high, too. It is like "take this line, past here".
By David P•
This is an extremely poorly prepared course in which the lecturers just throw material at you without bothering to make it even slightly comprehensible. One has to struggle really hard to understand what they are talking about -- they often use concepts and terms that have never been defined before, the slides are sloppy and often formulas make no sense. That said, I'll probably continue struggling with the lectures, since this is (unfortunately) the only advanced resource for deep learning at the moment. I really hope the lecturers will listen to the multitude of negative reviews and make an effort to improve their presentation.
By HAZEM D•
good course with great lectures , but the assignments are very painful to complete , they are not hard but the training of the model takes to much time and the coursera notebook always crushes , it took me 1 week to finish an assignment after several trials of training the modal , i ended up by using google Colab with accelerated GPU in order to finish the assignments, also the instructions in the assignments are often not very clear. i suggest to reformulate the assignments and delete or modify the part where you have to train the model and wait several hours to submit the notebook .
By Reza S•
While trying to be objective, I beleive the only credit this course takes is the extensive syllabus. Otherwise the lectures were terrible and it was almost impossible to follow any subject just by leaning to the course material. At some point I ended up muting the videos and focused on subtitles only. Pedagogically it wasn't design to "teach" so to say, and I practically ended up googling most of the topics so I can graduate this course!
By Stefano C•
The course has a high potential, with large content and expert instructors. However, you soon realise that the content is indeed too large, and it's never covered with enough details and examples. The most disappointing part, however, is the assignments: the topics covered are too advanced and, as a matter of fact, the learner is only given the chance to implement a tiny part of it.
By Sergio A G P•
I found this course not to be a good introduction to deep learning. It never explained well how to use Tensorflow for even easy things. There was a lot of topics covered, which made the course very shallow. As an introduction, it would have been great to know how to de easy things well, instead of checking lots of topics and not knowing how to fully implement them.
By Caio A A O•
It started great, but became a bit too shallow. There's also little to no support from instructors, even when there are bugs.
Language problem ,no clear instructions were given for the assignments(Notebook) and no proper reply of Discussion form.
By raghuveer n•
The accent is very hard to understand and the quality of the recording is not good
By Juan S V C•
Quite hard for an Introduction.