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Explores hydraulic machines under transient conditions and hydroacoustic applications for hydroelectric installations, covering equilibrium chimneys, diaphragm cavitation, and turbine stability.
Covers the fundamentals of multilayer neural networks and deep learning, including back-propagation and network architectures like LeNet, AlexNet, and VGG-16.
Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.
