Regression with Automatic Differentiation in TensorFlow

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Course Features

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Duration

1.5 hour

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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

Beginner

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Teaching Type

Self Paced

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Video Content

1.5 hour

Course Description

This 1.5-hour course is project-based and teaches you about constants and variables in TensorFlow. You will also learn how to use automatic differentiate and apply automatic differentiation to solve linear regression problems. This project will give you a solid understanding of machine learning algorithms in TensorFlow. You should be familiar with Python, Gradient Descent and Linear Regression in order to succeed in this project. This course is best for learners who live in the North America region. We are currently working to offer the same experience in other areas.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

understanding automatic differentiation in tensorflow

using automatic differentiation to solve a linear regression problem in tensorflow

Understanding tensor constants, and tensor variables in tensorflow

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