Отзывы учащихся о курсе Introduction to Deep Learning от партнера НИУ ВШЭ
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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
226–250 из 393 отзывов о курсе Introduction to Deep Learning
автор: abdul s
•Very Good Course
автор: Amulya R B
•Awesome course!
автор: Aleksandr G
•Very advanced!
автор: Akshit V
•Great Course!
автор: edward j
•Great course!
автор: Ajayi E A
•Satisfactory
автор: Alfonso M
•Good course.
автор: Krishna H
•Exemplary!
автор: Alex
•Nice work.
автор: Xiao M
•Very gooda
автор: Sbabti M z
•exxellent
автор: Kollipaka s
•very good
автор: M A B
•Excellent
автор: 胡哲维
•excellent
автор: franco p
•Amazing!
автор: Parag H S
•Amazing
автор: MAINDARGI Y R
•Great
автор: Имангулов А Б
•hard!
автор: heechan s
•Good
автор: Sasikumar G
•Good
автор: Колодин Е И
•top
автор: Arsenie a
•B
автор: Aparna S
•The material that it is trying to cover is very good. The programming assignments are intuitive with fill in the blanks kind of approach. Finishing them and the quizzes was a breeze.
But if you are new to tensorflow and Keras and a picky like me in wanting to know exactly what is going on and how, this course is wanting details.
It does have few other minor hitches -
-It has missing links to resources (you can dig them out though)
-mistakes in slides (that they embarrassingly correct inside)
-If you care about math, it might be disappointing when you see formulae with ill-defined variables and assumptions about notations that are not discussed. If you have a background, and do simple web search you will find it out in no time though.
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автор: Taylor D
•I learned a lot in this course through the implementation of the assignments. The lectures cover math and theory behind Deep Learning but it wasn't enough for me to come out of the course fully knowing the material. More study is required for the math. The assignments were for the most part enjoyable and helpful. It was exciting to see what Deep Learning could do with a few choice datasets. Just to prepare future students, as of Jan 2021, the implementations are in TensorFlow 1. So you won't be submitting the most up-to-date implementations for the course but it would be good practice to re-write the programs in TF2.0 for your own sake. Overall I enjoyed the class and am ready to apply this to my job.
автор: Bikhyat A
•The course is really awesome, especially the lecturer Andrei Zimovnonv's lectures are really good. His flow, the concepts he provide, all are lucid. However, Alexander Panin's lectures are, I think quit difficult to understand. Most of the times, he suddenly delivers so fast that you can't even hear what he actually said. I think, he should work on that. And honestly, I still have lot's of confusion in the portions he covered i.e. embedding, auto-encoders, adversial networks etc. One more thing what I'd like to add is, the instructions provided in the assignment notebooks are sometime very hard to understand making me feel they're confusing and incomplete.
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