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You're reading from  Statistics for Machine Learning

Product typeBook
Published inJul 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781788295758
Edition1st Edition
Languages
Python
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Statistics
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Pratap Dangeti
Pratap Dangeti
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Pratap Dangeti

Pratap Dangeti develops machine learning and deep learning solutions for structured, image, and text data at TCS, analytics and insights, innovation lab in Bangalore. He has acquired a lot of experience in both analytics and data science. He received his master's degree from IIT Bombay in its industrial engineering and operations research program. He is an artificial intelligence enthusiast. When not working, he likes to read about next-gen technologies and innovative methodologies.
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Activation functions

Activation functions are the mechanisms by which an artificial neuron processes information and passes it throughout the network. The activation function takes a single number and performs a certain fixed mathematical functional mapping on it. There are many different types of activation functions. The most popular ones are the following:

  • Sigmoid
  • Tanh
  • Relu
  • Linear

Sigmoid function: Sigmoid has the mathematical form σ(x) = 1 / (1+e−x). It takes a real-valued number and squashes it into a range between 0 and 1. Sigmoid is a popular choice, which makes calculating derivatives easy and is easy to interpret.

Tanh function: Tanh squashes the real-valued number into the range [-1, 1]. The output is zero-centered. In practice, tanh non-linearity is always preferred to sigmoid non-linearity. Also, it can be proved that tanh is scaled sigmoid neuron tanh(x) = 2σ (2x) − 1.

Rectified Linear Unit (ReLU) function: ReLU has become very popular in the last few years. It computes the function...

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Statistics for Machine Learning
Published in: Jul 2017Publisher: PacktISBN-13: 9781788295758
© 2017 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Pratap Dangeti

Pratap Dangeti develops machine learning and deep learning solutions for structured, image, and text data at TCS, analytics and insights, innovation lab in Bangalore. He has acquired a lot of experience in both analytics and data science. He received his master's degree from IIT Bombay in its industrial engineering and operations research program. He is an artificial intelligence enthusiast. When not working, he likes to read about next-gen technologies and innovative methodologies.
Read more about Pratap Dangeti

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