Course Content
Introduction
TensorFlow is an open-source and free library for differentiable programming and data flow across a variety of tasks. TensorFlow is a math library and it is used for machine learning applications for example neural networks.
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What is Python TensorFlow?
Key Terms
Tensorflow Architecture Component
Life Cycle of TensorFlow Servable
Installing Python Tensorflow
Algorithms in TensorFlow
Creating a Tensor
Tensor Attributes
TensorFlow Useful Functions
TensorFlow Variables
TensorFlow Placeholder
TensorFlow Session
Simple Tensorflow Program
Methods to Load Data
TensorFlow Tutorial
    About Lesson

    The following are a list of algorithms and their corresponding TensorFlow functions

    • Linear regression: tf.estimator.LinearRegressor
    • Classification: tf.estimator.LinearClassifier
    • Deep learning classification: tf.estimator.DNNClassifier
    • Deep learning wipe and deep: tf.estimator.DNNLinearCombinedClassifier
    • Booster tree regression: tf.estimator.BoostedTreesRegressor
    • Boosted tree classification: tf.estimator.BoostedTreesClassifier

     

     

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