Explores neural networks' ability to learn features and make linear predictions, emphasizing the importance of data quantity for effective performance.
Introduces convolutional neural networks for image processing, covering basic components, architectures, and practical applications, including denoising and segmentation.
Explores fundamental equations and modeling in hydroacoustics for hydroelectric installations, focusing on continuity, momentum, and wave propagation speed.
