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linear-regression's Introduction

Linear-Regression

  • What is tensorflow?
    • Library that allows us to easily build, train, and test machine learning models
    • Provides a black box approach so we get to ignore the complex algebra involved
    • Written in efficient C++ code but provides an easy to use interface
    • Models are constructed through a series of nodes that make up a graph
    • Tensorflow operates on tensors which are essentially arrays of values
    • Learn about basic tensorflow components and build a simple linear regression model
    • Go over core tensorflow concepts
    • Add tensorflow to pycharm
    • Explore some common node types
      • constants and sessions
      • variables
      • placeholders
      • operations
      • loss functions and optimizers
    • Training and testing
    • Build linear regression model

linear-regression's People

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