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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...

Optimization algorithms are employed to fine-tune the neural network parameters and learning rate in order to discover the optimal parameters...

Deep learning is a modern method for AI that makes use of artificial neural networks that are inspired by the...

Machine learning (ML) is an old method used to achieve AI by using special kinds of learning algorithms which enable...

Neural Network is an architecture that is inspired by the biological human brain and used in Deep Learning to achieve...

Calculus is a branch of mathematics that studies rates of change. Here, we explore key concepts in Calculus: Limits, Differentiation,...

AutoGrad is a feature given by Deep Learning Frameworks like PyTorch for automating the derivative calculation of a function.

Probability is used to measure uncertainty. When it comes to AI, Probability is the main concept used for decision-making and...

In the field of AI, norms are a crucial concept used for measuring the size of vectors and matrices, or...