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

by Navin Kumar Manaswi
April 2018
Intermediate to advanced
228 pages
3h 41m
English
Apress
Content preview from 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_4

4. Regression to MLP in TensorFlow

Navin Kumar Manaswi1 
(1)
Bangalore, Karnataka, India
 

People have been using regression and classifiers for a long time. Now it is time to switch to the topic of neural networks. A multilayered perceptron (MLP) is a simple neural network model where you can add one or more hidden layers between the input and output layers.

In this chapter, you will see how TensorFlow can help you build the models. You will start with the most basic model, which is a linear model. Logistic and MLP models are also discussed in this chapter.

TensorFlow Steps to Build Models

In this section, I’ll discuss ...
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Publisher Resources

ISBN: 9781484235164Purchase LinkPublisher Website