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\nPredictive Analytics with TensorFlow 3.5: Getting Started with Tensorflow – Linear Regression and Beyond\n

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\nIn this example, we will take a closer look at TensorFlow's and TensorBoard's main concepts and try to do some basic operations to get you started. The model we want to implement simulates the linear regression. • Create data into 2D space\nIn this example, we will take a closer look at TensorFlow's and TensorBoard's main concepts and try to do some basic operations to get you started. The model we want to implement simulates the linear regression. • Create data into 2D space\n
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Resource Details

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Educator Rating
Not yet Rated
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Media Length
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4:06
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Grade
Higher Ed
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Subjects
Math
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Media Type
Instructional Videos
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Source:
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\nPackt - Data\n\n
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Date
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2019
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Concepts

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data, variables, linear regression, values, normal distribution, stem, blockchain, coding, computer science
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Additional Tags

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relationship, machine learning, 2d space, model, aws, cost function, angular, output, algorithm, created, input data, measure, software, tensorflow, starts, line, tensor flow, dependent variable, define, taking, data points, gradient descent, function, react, c++, programming, c#, python, based, import, graph, video, simple, equals 2
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Classroom Considerations

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Best For: Explaining a topic
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