Link to the previous post : https://statinfer.com/204-5-9-building-a-neural-network-in-python/
In the previous post, we built a Neural Network model and found the accuracy of the model.
In this post we, will go further into the algorithm again and understand a simple concept of Local and Global Minima. This helps us build a neural network model which works best for us.
Local vs. Global Minimum
- The neural network might give different results with different start weights.
- The algorithm tries to find the local minima rather than global minima.
- There can be many local minima’s, which means there can be many solutions to neural network problem.
- We need to perform the validation checks before choosing the final model.