The Multilayer Perceptron (MLP) is a type of feedforward neural network that uses the Perceptron model as the fundamental building...

The ability to design an AI model suitable for a given task is a crucial skill in the AI field....

This will guide you through building a deep-learning AI model for a given problem, providing a step-by-step tutorial using Python...

The Learning rate is the hyper-parameter that determines the size of the step taken in the direction of the gradient...

Forward propagation is the process of passing input data through the neural network in the forward direction to generate an...

Backpropagation is the pivotal technique employed to fine-tune a neural network's parameters with the aim of minimizing the loss function.

Data processing is the crucial process in the AI field, where raw data are collected and transformed into valuable information...

Activation functions are mathematical formulas applied to neuron outputs, introducing non-linearity to neural networks.

The loss function is a mathematical function that quantifies the performance the AI model by comparing its predicted values with...