Institute for Data Science, Engineering, and Analytics
The article explores the integration of Explainable Artificial Intelligence (XAI) in enhancing deep learning performance. Focusing on regression problems, it introduces a feature selection pipeline using Integrated Gradients and k-means clustering, applied to blade vibration analysis in turbo machinery development.
Spotpython-0.16.9 introduces two key features: a new function, viz_net, for visualizing linear network architectures, and extract_linear_dims, which retrieves input and output dimensions of Linear layers in PyTorch models. An illustrative example demonstrates the implementation of viz_net alongside model initialization and configuration using the Diabetes dataset.
The Open Access Book „Hyperparameter Tuning for Machine and Deep Learning with R“ has surpassed 100k accesses and provides practical guidance for R, focusing on hyperparameter tuning in ML and DL. An updated Python version is forthcoming.
The notebooks in the GitHub repository https://github.com/sn-code-inside/online-machine-learning are part of the supplementary material of the book „Online Machine Learning – A Practical … Mehr
