If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
Dieser Kurs ist Teil der Spezialisierung DeepLearning.AI TensorFlow Developer Zertifikat über berufliche Qualifikation
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Über diesen Kurs
You should take the first 2 courses of the TensorFlow Specialization and be comfortable coding in Python and understanding high school-level math.
Was Sie lernen werden
Build natural language processing systems using TensorFlow
Process text, including tokenization and representing sentences as vectors
Apply RNNs, GRUs, and LSTMs in TensorFlow
Train LSTMs on existing text to create original poetry and more
Kompetenzen, die Sie erwerben
- Natural Language Processing
- Tokenization
- Machine Learning
- Tensorflow
- RNNs
You should take the first 2 courses of the TensorFlow Specialization and be comfortable coding in Python and understanding high school-level math.
Lehrplan - Was Sie in diesem Kurs lernen werden
Sentiment in text
Word Embeddings
Sequence models
Sequence models and literature
Bewertungen
- 5 stars72,15 %
- 4 stars19,34 %
- 3 stars5,78 %
- 2 stars1,63 %
- 1 star1,07 %
Top-Bewertungen von NATURAL LANGUAGE PROCESSING IN TENSORFLOW
Great course for anyone interested in NLP! This course focuses on practical learning instead of overburdening students with theory. Would recommend this to every NLP beginner/enthusiast out there!!
Good course that gives you basic understanding of word embeddings, sequence analysis, and many other things. Thank you for Mr. Moroney and the entire Coursera team for making it available.
The course is great, but the assignments were not designed as well as the ones in the previous courses. I believe that a careful design of the assignments could significant improve the experience.
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)
Über den DeepLearning.AI TensorFlow Developer Zertifikat über berufliche Qualifikation

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