Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras

©  Navin Kumar Manaswi 2018

Navin Kumar ManaswiDeep Learning with Applications Using Python https://doi.org/10.1007/978-1-4842-3516-4_5

5. Regression to MLP in Keras

Navin Kumar Manaswi¹ 

(1)

Bangalore, Karnataka, India

 

You have been working on regression while solving machine learning applications. Linear regression and nonlinear regression are used to predict numeric targets, while logistic regression and other classifiers are used to predict non-numeric target variables. In this chapter, I will discuss the evolution of multilayer perceptrons.

Specifically, you will compare the accuracy generated by different models with and without using Keras.

Log-Linear Model

Create a new Python file and import the following packages. Make sure you have Keras ...