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Department of Artificial Intelligence & Data Science: 23ADT302 Deep Learning by Sri Dharshini is a document available to read on EtoBox.

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The document outlines the learning foundations in Convolutional Neural Networks (CNNs), emphasizing the necessity of learning to identify patterns like edges and shapes from data. It discusses the limitations of linear models in capturing complex patterns and the importance of non-linearity through activation functions for effective learning. Various activation functions such as ReLU, Sigmoid, and Tanh are introduced, highlighting their roles and advantages in enhancing CNN performance.

Author

Sri Dharshini

Language

EN