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.
Este curso forma parte de Certificado profesional de DeepLearning.AI desarrollador de TensorFlow
Ofrecido Por

Acerca de este Curso
You should take the first 2 courses of the TensorFlow Specialization and be comfortable coding in Python and understanding high school-level math.
Qué aprenderás
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
Habilidades que obtendrás
- 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.
Ofrecido por
Programa - Qué aprenderás en este curso
Sentiment in text
Word Embeddings
Sequence models
Sequence models and literature
Reseñas
- 5 stars72,17 %
- 4 stars19,32 %
- 3 stars5,78 %
- 2 stars1,63 %
- 1 star1,07 %
Principales reseñas sobre NATURAL LANGUAGE PROCESSING IN TENSORFLOW
These classes are excelling practical examples of how to use tensorflow for various problem types. My only objection is they are slightly light on the actual, behind the scenes, math and intuition.
Good course. Especially the sequence models part was covered really well. I enjoyed watching all the videos and the reading materials, notebooks were well explanative. Thank you.
Excellent. Isn't Laurence just great! Fantastically deep knowledge, easy learning style, very practical presentation. And funny! A pure joy, highly relevant and extremely useful of course. Thank you!
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 and GRUs).
Acerca de Certificado profesional de DeepLearning.AI desarrollador de TensorFlow

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