RD
The important things hadn't been explained enough.
This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.
RD
The important things hadn't been explained enough.
JP
was some what difficult understanding the narrator. I had to download the transcript to be able to follow along with understand. other than that The Course Was Great
RD
I love that this course contains multiple coding examples
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¡Excelente curso! Muy bien explicado, dinámico y con materiales de apoyo de gran calidad. Lo volvería a tomar sin dudarlo.
I love that this course contains multiple coding examples
Great course, short and sweet!
Коротко и ясно
good
good
جيد
was some what difficult understanding the narrator. I had to download the transcript to be able to follow along with understand. other than that The Course Was Great
The important things hadn't been explained enough.
nice course
Personally, I don't think it comes under short course; it is like a superficial short-video. It could have been a better short course. Maybe a better option will be to club all the introduction courses from Google Cloud together, so they could be done in series. Also, I wouldn't insist on a certification for this course.
The overall course was good but the instructor was not so clearly speaking, that made it a bit slow to learn things (because I needed to replay the video again and again to understand what he actually means) along with subtitles. Otherwise, the overall content was good and knowledgeable.
Make sure the lecture gives some graphic showing the steps. The questions seemed to be more detailed than what I recall the lecture to be about, thus a summary of what was learned / take-away would help cement the knowledge
Gave a general overview of encoder-decoder architecture and a toy example, but did not go in depth into the architecture.
the details regarding the code must be in more details and in should more in elaborative style
cant do the lab