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Artificial Intelligence 5 min read

Understanding Deep Learning

Understanding Deep Learning
Deep Learning is a specialized subfield of Machine Learning inspired by the human brain. Using multi-layered Artificial Neural Networks (ANNs), deep learning models can automatically extract features from raw data like pixels, text, and sound waves. In this guide, we dive into key mechanics of deep learning: feedforward networks, weights and biases, backpropagation (calculating gradients), and popular activation functions like Sigmoid, Tanh, and Rectified Linear Unit (ReLU) which introduce non-linearity into networks.

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