Data för: GIANT Networks: Very Deep Fully-Connected Neural Networks Applied to Microwave Problems Data for: GIANT Networks: Very Deep Fully-Connected Neural Networks Applied to Microwave Problems 2025-219-1 https://doi.org/10.71870/8e3q-j519 Swedish National Data Service Svensk nationell datatjänst Landing page Data för: GIANT Networks: Very Deep Fully-Connected Neural Networks Applied to Microwave Problems Data for: GIANT Networks: Very Deep Fully-Connected Neural Networks Applied to Microwave Problems 2025-219-1 https://doi.org/10.71870/8e3q-j519 10.1049/mia2.70077 Stenmark, Simon Stenmark, Simon Swedish National Data Service Svensk nationell datatjänst Landing page neural networks (information technology) neuronnät Jacobians Jacobimatriser This dataset contains the samples of the training, validation and test data sets for the two numerical examples of the article ''GIANT Networks: Very Deep Fully-Connected Neural Networks Applied to Microwave Problems'' (Stenmark, Rylander, McKelvey & Ludvig-Osipov, 2026). All data is created using the finite element method as described in the article and is stored in the NPZ format which can be opened with the Python library NumPy (https://numpy.org/). The complete descriptions of all variables contained in the data are found in the article. Detta dataset innehåller träning-, validering- och testdata för de två numeriska exemplen i artikeln "GIANT Networks: Very Deep Fully-Connected Neural Networks Applied to Microwave Problems" (Stenmark, Rylander, McKelvey & Ludvig-Osipov, 2026). Datat är skapat med hjälp av finita elementmetoden enligt beskrivning i artikeln och är lagrat i formatet NPZ som kan öppnas med Pythonbiblioteket NumPy (https://numpy.org/). Alla variabler i datasetet finns beskrivna i artikeln. Numeric The data was created using the finite element method as described in the article.The data was created using the finite element method as described in the article. Datat skapades med hjälp av finita elementmetoden enligt beskrivning i artikeln.Datat skapades med hjälp av finita elementmetoden enligt beskrivning i artikeln. SimulationSimulation SimuleringSimulering Access to data through SND. Data are freely accessible. Åtkomst till data via SND. Data är fritt tillgängliga. openAccess S. Stenmark, T. Rylander, T. McKelvey, and A. Ludvig-Osipov, “GIANT Networks: Very Deep Fully Connected Neural Networks Applied to Microwave Problems,” IET Microwaves, Antennas & Propagation S. Stenmark, T. Rylander, T. McKelvey, and A. Ludvig-Osipov, “GIANT Networks: Very Deep Fully Connected Neural Networks Applied to Microwave Problems,” IET Microwaves, Antennas & Propagation 10.1049/mia2.70077 2026