学生对 deeplearning.ai 提供的 Natural Language Processing in TensorFlow 的评价和反馈

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!

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.

Great course to learn the basic of natural language processing. Starting from tokenizer, embedded vector, and sentiment analysis is covered in this course.

Really enjoyed the course. Really like the short concise video segments, and practical application. Great way to get exposure to all that TensorFlow offers.

This course is very beautifully created with all the necessary topics that are required for beginners. I highly recommend to the ppl who want to begin NLP.

Excellent introductory course on NLP, the Tensorflow examples are clear and simple to follow, recommended for anyone looking for a quick NLP summary course

very useful and helpful courses on NLP, it gives intuitive and first-hand directions on how to use RNN models, the teacher is really wonderful, thank you!

It was so good to learn from these two teachers, it was really a wonder full experience and the way they diluted the complex topics was just mind bobling

This Course Is a great Example Of NLP Using Natural Language Procession And In this course start from basics of NLP to the predicting word of the poetry.

All basic fundamentals of NLP use cases that can be solved using Tensorflow had been taught and taught well with sufficient references and explanations.