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
por Zhaoqing X•
Well, I think it's a good course for introducing us to Deep Learning and it has better(tougher) assignments than Andrew's. It also covers more knowledge than Andrew's. But the quality of the course is not that good. The Russian accent is not important because my native language is not English as well, but the assignments are frustrating. The mentors cannot answer the questions that widely appears in the course.
por Raffael S•
Sadly, this course leaves out a rigorous introduction to all the math behind Deep Learning. Also, it would have been nice to give an assignment to implement a conv net from scratch even if it is just a small one. Additionally the coding tasks felt like you only had to fill in coding related problems, like splitting text and setting up one-hot encodings. All the neural network fun was already prefilled.
por Dmitry Z•
I'd prefer a way more detailed explanation of different architectures and alghoritms + a more detailed explanation of Keras and TF. Programming assignments are more like quizzes where you don't write the code yourself, but rather fill in gaps, because during the course you don't study how to create a fully functional system from scratch.
por J L•
Lecture slides need more written explanations, information, and math. Also, jupyter notebooks seriously lack information describing codes, explanation in neural network functionalities, and architectures. Please, practice clearer speech speaking, if it's hard to change, supply detail written notes to read for students.
por Aruparna M•
I would like to say that the course content, syllabus is fabulous, but the style of teaching is really unimpressive. The lecturers show the slides and simply speak, not even pointing at the lines on which they are speaking. Many a times, the words of the lecturers are also not clear!
por Мар'ян Л•
I'm not sure that this course is needed at all. Folks are trying to explain multiple architectures of Neural Networks, without giving an actual understanding why it works. Plus I have a feeling that all of this things are going to explained in next courses of this specialization.
por 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.
por 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.
por 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
por 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.
por 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
por Mohamed E A•
there is some lecturers are not talking clearly stopping too much while explaining, the materials is very good with high quality
por Dizhao J•
the pronunciation of the lecturer is not clear and too fast, hope they could speak slower and clearer
por Shubhra S•
The introductory course is good. But I think you should include more reading material for RNN
por Kamil M•
Neural network introduction is conducted very chaotic. Not all topics are explained well.
por Alex S•
Не понравилось последнее задание, где нужно людей оценить, потому что работ нет 20 дней
por 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。
por Ronie S M G•
Great topics but obsolete activities (framework - TF 1.x)
por Mathieu D•
not enough content in the video to pass the exam.
por Kushagra P•
The RNN week was very bad.
por 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.
por Фариман Г•
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".
por 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.
por 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 .