Natural Language Processing in TensorFlow

Course Cover

5

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Course Features

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Duration

15 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

15 hours

Course Description

You need to be a software developer if you want to create scalable AI-powered algorithms. This specialization will show you how to use TensorFlow, an open-source framework that enables machine learning.

You will learn how to create natural language processing systems with TensorFlow in Course 3. Learn to process text and to tokenize sentences so they can be used to build neural networks. In TensorFlow, you'll also be able to use RNNs, GRUs and LSTMs. You'll also be able to train an LST on existing text in order to create your own poetry. Andrew Ng's Machine Learning Course and Deep Learning Specialization teach the fundamental principles of Deep Learning and Machine Learning. The new TensorFlow TensorFlow Specialization from deeplearning.ai teaches you how TensorFlow can be used to implement these principles, so you can begin building and applying scalable model solutions to real-world problems. Deep Learning Specialization is recommended to gain a deeper understanding about how neural networks operate.

Course Overview

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Skills You Will Gain

What You Will Learn

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

Course Instructors

Laurence Moroney

Instructor

Laurence Moroney leads AI Advocacy at Google, with a vision to make AI easy for developers and to widen access to ML careers for everyone. He�s written dozens of programming books, the most recent be...

Course Accreditations

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