Google Cloud Training
8.4/10
(Our Score)
Product is rated as #170 in category Machine Learning
This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length. – Predict future values of a time–series – Classify free form text – Address time–series and text problems with recurrent neural networks – Choose between RNNs/LSTMs and simpler models – Train and reuse word embeddings in text problems You will get hands–on practice building and optimizing your own text classification and sequence models on a variety of public datasets in the labs we’ll work on together. Prerequisites: Basic SQL, familiarity with Python and TensorFlow
Instructor Details
Votes: 7
Courses : 28
Specification: Sequence Models for Time Series and Natural Language Processing
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33 reviews for Sequence Models for Time Series and Natural Language Processing
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| Provider | |
|---|---|
| Duration | 13 hours |
| Year | 2018 |
| Level | Expert |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
Sequence Models for Time Series and Natural Language Processing
Jason C –
Quite a challenging course so far.
Jun W –
Excellent course for those who know RNN. Knowledge is refreshed and techniques are consolidated. More details about Google ecosystem is introduced.
Harold L M M –
This was a very interesting course on NLP and Time Series. My only concern is that some notebooks worked for python 2 mode and not for python 3. Also, the tensor 2 tensor lab could not be completed in 2 hours, as some of the training may take more than 3 hours to complete. Overall, good information, great technology and great teachers. Thank you.
Hemant D K –
Very informative, very much useful to my ongoing work on NLP.
Elias P –
I really loved it!
Raja R G –
Good
Arindam G –
No Doubt COURSERA is always best AND MNC like IBM,Google courses associated with coursera are MIND BLOWING. The Instructors are so great at Explanation Part that hardly anyone won’t Understand All the Topics I would love to thank all the INSTRUCTORS who created such a Awesome Content for us. My Personal Ratings For All the Instructors: 100 / 100
ELINGUI P U –
Great one!
Carlos V –
Excellent Sequence Models explanations and examples to learn from, I quite enjoyed all the fantastic tips and best practices recommended by Google, looking forward to the next course in the specialization.
Mark D –
Very good.The explanation of the RNN was very good but the tensor2tensor was very hard.
Yunwei H –
Too focused on GCP. Could be more on DL itself.
vincent p –
Several exercices do not work as described, with error messages. Explanations of what we are doing are light.
Nguyen V L –
pretty great
Temuge B –
Videos were too short. Explanations of the key concepts were really poor. Quiz in week 1 had error that was raised by the user 6 months ago and it is still not fixed. Coding section had library mismatch that led to errors. The presentation of the materials were good.
Armando F –
Lot’s of good information. I cannot wait to start using this knowledge. Thank you!
Marios N –
Very helpful but needs more in depth detail how attention works, how encoder/decoder trains and makes predictions
Jakub B –
Subscribing to this course only gives you option to run assignments on Qwik labs, and they’re very poor for these kinds of assignments. You won’t get any feedback on assignments anyway since there is no grader. If you want to check out the material it’s better to just clone training data analyst from github and do these assignments on GCP free tier.
Maxim –
One star, but not to content. But because the course don’t have “Audit” option. It’s mean that after subscription ended and you received certificate, You can’t more access to video material in course. When subscription active, You can use mobile application and download video material for studying offline. Before yours subscription ended, copy video material to safe place for later review. p.s. But the course content deserves a higher mark 4 5 stars. As others courses in this specialization
borja v –
Complex but interesting
Harsh S –
Though not focused on fundamental concepts, it’s a great course to learn to use tensorflow and google cloud platform for sequence modelling.
Soroush A –
lecturer talks too fast and not easy to understand. This topic was one of my favorites.
Putcha L N R –
Great way to practically learn a lot of stuff. Sometimes, a lot of it starts to go over head. But, it is completely worth the learning curve! Definitely recommend it!
Ayman S –
I like it because it is very relevant to my work. The dialogflow part is a bit weak. I am not sure if it is the product or the course.
Silviu M –
The content is amazing and some of the implementations are really awesome! I am not a programmer but this course opened me the eyes to see how many business opportunities are there to use data for AI, in new products and services
Wayne R –
Excellent coverage of a complex topic
Bablesh S –
Good Course with enough practical exercises to get some hands on experience.
Serg D –
Maybe this course was too advanced for me. I did the other course on tf and that felt too easy. This was unreasonably hard. There was no explanations at all before labs and there were like 5 labs a week. how are we supposed to do them? i skipped nlp entirely, because i could not follow it at all due to zero guidance and explanations. The only skill i got from this course was to copy code from internet, but i could do it before
ssen advanced –
The chinese intonation and pronunciation was uncomfortable
Mahendra S C –
Awesome course, Great tutors they teach tough topics very easily like RNN(LSTM, GRU), Encode Decoder and attention.
Navid K –
Amazing course, I also took a bunch of other Deep learning and specially Sequence Modelling courses from other renown instructors and institutions. However, this is so far the best. better than all of them. 1 Very well structured 2 Fairly advanced in contents and techniques 3 Reasonably challenging. 4 Full free access for a trial period ( not all courses offer that) 5 Access to GCP for free Amazing course, well done Google
Deepika –
Felt somewhat advanced learning, which made tough to complete intime
Nebojsa D –
I have only one remark, please improve lesson regarding NLP by includin model build etc. Otherwise course is excellent and was helpful for me
Mahmmoud M –
A Very powerful course Thanks for all google team