What are some examples of CNNs being used for social good?

Layer-Wise Data-Free CNN Compression ... We present an efficient method for compressing a trained neural network without using any data. Our data-free method ... Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Proceedings. Editors, Ahmed ... ... intelligence must solve. One of the solutions is to apply deep learning and computer vision. Convolutional Neural Networks' (CNN) deep architecture ... We believe this suggests significant avenues of future exploration for machine learning language design, pedagogy, and implementation, both inside and outside ... Jul 21, 2022 ... Predicting wind power generation using machine learning and CNN-LSTM approaches ... Hyperparameters are adjusted using all the machine learning ... Jan 21, 2021 ... In machine learning, each type of artificial neural network is tailored to perform certain sets of tasks. In order to explain these tasks and ... (Not recommended) Train R-CNN deep learning object detector. collapse all in ... This function requires that you have Deep Learning Toolbox™ and Statistics and ... Neural networks are a subset of machine learning, and they are at the heart of deep learning algorithms. ... With each layer, the CNN increases in its complexity, ... Mar 31, 2021 ... This review attempts to provide a more comprehensive survey of the most important aspects of DL and including those enhancements recently added to the field. CNN is one of the popular deep learning algorithms that recently gained popularity in the sector of hydrology and earth sciences (Panahi et al., 2020). The CNN ...