**Feature Reduction using Genetic Algorithm with Python** - Mar 25, 2019.

This tutorial discusses how to use the genetic algorithm (GA) for reducing the feature vector extracted from the Fruits360 dataset in Python mainly using NumPy and Sklearn.

**Pages:** 1 2

Tags: Deep Learning, Feature Engineering, Genetic Algorithm, Neural Networks, numpy, Python, scikit-learn

**Genetic Algorithm Implementation in Python** - Jul 24, 2018.

This tutorial will implement the genetic algorithm optimization technique in Python based on a simple example in which we are trying to maximize the output of an equation.

Tags: Algorithms, Genetic Algorithm, Python

**Genetic Algorithm Key Terms, Explained** - Apr 10, 2018.

This article presents simple definitions for 12 genetic algorithm key terms, in order to help better introduce the concepts to newcomers.

Tags: Algorithms, Evolutionary Algorithm, Explained, Genetic Algorithm, Key Terms, Optimization

**Introduction to Optimization with Genetic Algorithm** - Mar 14, 2018.

This article gives a brief introduction about evolutionary algorithms (EAs) and describes genetic algorithm (GA) which is one of the simplest random-based EAs.

Tags: Genetic Algorithm, K-nearest neighbors, Optimization

**Using Genetic Algorithm for Optimizing Recurrent Neural Networks** - Jan 22, 2018.

In this tutorial, we will see how to apply a Genetic Algorithm (GA) for finding an optimal window size and a number of units in Long Short-Term Memory (LSTM) based Recurrent Neural Network (RNN).

Tags: Automated Machine Learning, Genetic Algorithm, Keras, Neural Networks, Python, Recurrent Neural Networks

**Design by Evolution: How to evolve your neural network with AutoML** - Jul 20, 2017.

The gist ( tl;dr): Time to evolve! I’m gonna give a basic example (in PyTorch) of using evolutionary algorithms to tune the hyper-parameters of a DNN.

**Pages:** 1 2 3

Tags: Algorithms, Architecture, Automated Machine Learning, AutoML, Genetic Algorithm, Neural Networks, PyTorch