deeplearning.ai의 Natural Language Processing in TensorFlow 학습자 리뷰 및 피드백

Excellent course

Gave me a brief idea with practical experience about how to process strings for machine learning.

I would like to thank Laurence Sir

and a Special thanks to Andrew Sir

Je n'avais aucune connaissance sur le sujet. Après ce cours, ayant acquis toutes les bases indispensable je n'ai qu'une envie c'est de continuer à approfondir concrètement le sujet.

Me gustó demasiado este curso, al poseer el conocimiento técnico adquirido en la especialización de deep learning todo se hizo más fluido e interesante, muchas gracias por todo!!.

This is good course for those who are want to practice in natural language processing in Tensor Flow and also learned sentiment analysis it is having wonderful stuff for beginners

It was very Informative.When I started this course I was not only looking for concepts but implementation as well.With in a small duration I have learned quite large information.

This is a a great course that help me improve knowledge about NLP. Course has many example and code in TensorFlow so easy to understand and practice. Thank teacher and Coursera.

Excellent course. Teaches NLP thoroughly, going from the basics such as tokenization and padding to complex topics such as word embeddings and sequence models (like RNNs, LSTMs)

Very nice course. However there were issues with the notebooks from week 3. Some of the code didn't work, and also some of the notebooks titles seem to have been swapped up.

Excellent explanation of the concepts by Laurance Moroney! I have completed the first three courses of the specialisation and I will complete the final one as well shortly.

The specialization thus far is fulfilling to my abilities & curiosities. It's even ideal that I took this module when GPT-3 was doing it's cycles of hype on the internet!

Nice material to get more familiar with Keras. I like it the examples and the ungraded exercises I would like to have more programming assessments to gain more practice.

This course has helped me to better understand the RNNs and gave me a hands on experience in rapidly implementing robust sequence models for Natural Language Processing.

This is a great course for anyone with basic of natural language processing and deep learning. This course is more into practical implementation of what you have learnt.

Really enjoyed the course. Learning a little bit poetry is free!! I had to learn some basic terminologies of "Time series" and some info about RNN/GRU/LSTM separately.

I really like NLP courses; however, I have felt it very basic. It would be so nice to see an advanced NLP courses in Coursera. Anyway, congratulation for this course.

It was great as a introduction course to Natural language processing lot of things more to learn encoder decoder model, attention mechanism , transformers , Bert etc

Beginner-friendly, a Practical course, I've learned a lot about natural language processing. What impressed me was the LSTM model, I think it's constructive in NLP.

I loved this course. The neat way, right from the basics, covering all the essential stuffs. A must for someone looking to build a foundation in the domain in NLP.

This course has helped me understand, how the basics of NLP work. I have gained insight on how to start implementing an NLP model, based on what is to be predicted

The first time ever that I found a NLP course interesting, and short and easy to understand. Most courses use lot of jargon and make it way too hard to understand.

This course has been very useful for me as a beginner on NLP. Concepts are very well explained with examples and exercises. I would like to recommend this course.

With the theoretical background of Andrew Ng's DeepLearning Specialisation, this was a welcome introduction in to how to implement all the theory in Tensorflow.

a very helpful course, it helps me understand better about how to process the words, texts and build a deep learning model for basic natural language processing

Great! Have to mention that taking the Andrew NG NLP course would help a lot, but this course covers the Tensorflow part in a great and easy to understand way.

Hands-on course on learning how to perform Natural Language Processing (NLPs) using sequence models such as Recurrent Neural Networks in TensorFlow and Keras.