are a popular deep learning framework often used to solve parameterized PDEs. However, applying DeepONet to porous media presents significant challenges due to its limited ability to extract ...

As I mentioned earlier, most deep learning is done with deep neural networks. Convolutional neural networks (CNN) are often used for machine vision. Recurrent neural networks (RNN) are often used ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly ...

Deep learning is a branch of machine learning based on algorithms that try to model high-level abstract representations of data by using multiple processing layers with complex structures. Some ...