Name: Natural Language Processing in TensorFlow
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.6 (1005 reviews)

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Learner Reviews & Feedback for Natural Language Processing in TensorFlow by DeepLearning.AI

4.6

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6,525 ratings

About the Course

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. In Course 3 of the DeepLearning.AI TensorFlow Developer Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network. You’ll also learn to apply RNNs, GRUs, and LSTMs in TensorFlow. Finally, you’ll get to train an LSTM on existing text to create original poetry! The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new DeepLearning.AI TensorFlow Developer Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Top reviews

Mar 4, 2021

This course represents a step forward to the previous courses on CNN and ANN. Very interesting themse and functionalities learnt in this one. Please fix third homework code because zip file is 404.

Aug 26, 2019

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!

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By Xiaotian Z

•

Nov 25, 2020

Too shallow. The instructor spent too much time on some meaningless details and didn't explain some very important basic concepts nor dive any deeper. I hope this was taught by Andrew.