In-depth Understanding to Optimize the Performance of Artificial Neural Network

Author(s): Amit Chauhan

Originally published on Towards AI.

Hyper-parameters tuning for deep learning techniques
An image by the Author

Introduction

Neural networks are structures that depend on the different input parameters to make decisions or predictions. Generally, it tries to mimic the operational behavior of human brain neurons, but organic neurons are more complex structures than artificial neural networks.

A single neuron is called a perception, and a multi neuron network is called a multi-layer perceptron or artificial neural network.

An ANN network prediction is based on the following steps as shown below:

Forward propagation: How the data moves from the input to the output layer.Training and backward propagation: This process uses input data, epochs, calculating loss, updating weights… Read the full blog for free on Medium.

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Published via Towards AI