Activa 1.0.5

Activa is a Python package that calculates the activation functions of a set of input numerical values while outputting clear visualization of these values for further analysis.

Features of Activa

• Calculates activation functions (ReLU, Sigmoid, Tanh, Softplus, Gaussian)
• Provides visual displays of each function against it's derivatives
• Outputs a comparison table for each values across all activation functions available

Quick Start

First, install the library:

$ pip install Activa

Example

For the example, we will be using the default data in the package, data = [-1, 0, 1]

To import libraries

>> from Activa import ReLU, Sigmoid, Gaussian, Table

1. Implementing the ReLU activation function

>> relu = ReLU()
>> relu.relu_values
array([0, 0, 1])

2. Implementing the Sigmoid activation function

>> sig = Sigmoid()
>> sig.sigmoid_values
array([0.26894142, 0.5       , 0.73105858])

3. Implementing the Gaussian activation function

>> gs = Gaussian()
>> gs.gaussian_values
array([0.36787944, 1.        , 0.36787944])

4. Implementing the comparison table for all activation functions

>> tb = Table()
>> tb.show
   actual_values   sigmoid  relu      tanh  softplus  gaussian
0             -1  0.268941     0 -0.761594  0.313262  0.367879
1              0  0.500000     0  0.000000  0.693147  1.000000
2              1  0.731059     1  0.761594  1.313262  0.367879

More information

Kindly checkout the github repo for more updates