Modeling with Tensor Flow

Overview

Model Objects

Models are the basic object in tensorflow. Most machine learning analytics are run using one of the model types.

• Sequential - the workhorse model of tensorflow. Most models on this page use sequential models for their implementation.
• Saving Loading Model

Analytics with Models

• Regression is a type of machine learning that has its foundations in standard statistics.
  
  
  • Linear Regression
  • Regularization (ridge and lasso regression)
  • Logistic Regression
• Neural Networks One of the principle uses of tensor flow is the modeling of neural networks and related structures.
  
  
  • Perceptron
  • Neural Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks