ANN Report

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What is an Artificial Neural Network (ANN)?

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A computational model inspired by the way biological neural networks in the human brain process information.

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What is a Feedforward Neural Network (FNN)?

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A type of ANN where connections between nodes do not form cycles, allowing data to flow in one direction only.

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What is backpropagation in neural networks?

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A training algorithm used to minimize the error by adjusting the weights of the network based on the gradient of the loss function.

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What are Radial Basis Function Networks (RBFNs) used for?

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They are particularly effective for modeling trends and patterns, such as in weather prediction.

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What is a Convolutional Neural Network (CNN)?

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A type of deep learning model designed to process structured grid data, such as images, using convolutional layers.

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What is the purpose of convolutional layers in CNNs?

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To detect patterns and features in images by applying filters that convolve over the input data.

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What is a Modular Neural Network?

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A type of neural network that breaks a problem into smaller, independent sub-tasks, allowing for more efficient processing.

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What is the role of activation functions in neural networks?

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To introduce non-linearity into the model, allowing it to learn complex patterns.

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What is overfitting in the context of neural networks?

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A modeling error that occurs when a neural network learns the training data too well, including noise, leading to poor generalization.

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What is the significance of the learning rate in training neural networks?

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It determines the size of the steps taken towards minimizing the loss function during training.