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ConvolutionalNeuralNetworks (CNNs) ConvolutionalNeuralNetworks ( CNNs ) are specialised Deep Learning models that process and analyse visual data. Understanding Convolution and Pooling Layers CNNs rely on two key operations: convolution and pooling.
Dataextraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data. It weighs down frequently occurring words and emphasizes rarer, more informative terms. positive, negative or neutral).
Unlike traditional Machine Learning, Deep Learning models automatically discover features without human intervention, making them highly effective in handling unstructured data like images, text, and audio. Key Concepts At the core of Deep Learning are neuralnetworks composed of layers of interconnected nodes or neurons.
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