Introduction to Artificial Intelligence UNIZAR: Advanced Neural Networks with TensorFlow-Keras

1. Regression with Dense Neural Networks (DNN).

   1.1 Example with basic Keras

   1.2 Example with Tensorflow-Keras API

2. Numerical method surrogates and autoencoders with DNNs.

   2.1 Numerical method surrogate with DNNs: Extraordinary Optical Transmission

   2.2 Denoising autoencoders witn DNNs: Transmission of an electron through a potential barrier

3. Handwritten digit classification with Convolutional Neural Networks (CNN).

4. Application of CNNs to magnetism: 2D Ising model.

5. Solving Ordinary Differential Equations with Physics Informed Neural Networks (PINN).

6. Time Series Prediction with Recurrent Neural Networks (RNN).

7. Discovering discrete symmetry groups with neural networks.

Sergio G Rodrigo
Departamento de Física Aplicada
Universidad de Zaragoza
Instituto de Nanociencia y Materiales de Aragón (INMA)
C/ Pedro Cerbuna, 12, 50009, Zaragoza, España