So What Is Genetic Algorithm (Neuro-evolution)

Source: Deep Learning on Medium

So let’s Start! :

# 1. Networks start to initialize

# 2. In the range of generation, we are going to compare models with each other

# 3. Networks start to train and report the accuracy of each one

# 4. Then all generation networks go for selection

# 5. Make new models with randomizing parents

# 6. Extend with the new generation and then start the next generation

# 7. We get the best one and show it as a result of “GA”

# 8. Test and visualize the result

# 9. Go to the first step