AI Product Management, Data Analysis and Data Quality

Artificial Neural Network: A Comprehensive Guide

Pickl AI

SEPTEMBER 3, 2024

Data Quality and Availability The performance of ANNs heavily relies on the quality and quantity of the training data. Insufficient or biased data can lead to inaccurate predictions and reinforce existing biases. Solution: Techniques such as regularisation, dropout, and early stopping can help mitigate overfitting.

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Artificial Neural Network: A Comprehensive Guide

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