Tag: Neural network
Activation functions are the main components of neural network nodes. This article examines the various types of activation functions and their importance.
“Transfer learning” is a machine learning concept that involves storing machine knowledge and using it on different, related problems. For example, the knowledge gained from learning to recognize cars (from car images or videos) can also be applied to bus recognition problems.
This article introduces the concept of Neural Networks in detail. We will compare neurons in human brains with artificial neurons and explain the underlying mathematical model.