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Supervised learning is a machine learning method where an AI model is trained using a labeled dataset, which includes both...

Unsupervised learning is a learning method where an AI model is trained using an unlabeled dataset, with only a set...

Reinforcement learning is a type of AI learning that involves training AI models by allowing them to interact with an...

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...

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...

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