Artificial Intelligence Chapter 3: Neural Networks
Abschnittsübersicht
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The Neural Networks chapter introduces learners to the foundational principles of deep learning, including concepts such as bias, activation functions, gradients, and backpropagation. It also explores advanced topics like convolutional and recurrent neural networks, equipping learners with the skills to build, train, and utilise neural networks for geospatial data-driven applications.
