Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

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Course Features

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Duration

31 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

31 hours

Course Description

You need to be able to use the tools to create scalable AI-powered software if you want to become a software developer. This course is part the Machine Learning in Tensorflow Specialization. It will show you how to use TensorFlow, an open-source framework that enables machine learning.

Andrew Ng's Machine Learning Course and Deep Learning Specialization teach the fundamental principles of 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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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Learn best practices for using TensorFlow, a popular open-source machine learning framework

Build a basic neural network in TensorFlow

Train a neural network for a computer vision application

Understand how to use convolutions to improve your neural network

Course Instructors

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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...

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