Neural networks consist of interconnected nodes (neurons) that process input data through layers to learn complex patterns; they are foundational in deep learning applications such as image recognition, speech processing, and more.
Convolutional Neural Networks (CNNs)
Data Scientists
Complexity of modeling relationships within large datasets.
A neural network is trained on a dataset of images to accurately classify animals into different categories based on learned features during training phases.
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