VNC/Virtio-GPU support for S390x: yast installation

We have an IBM S/390x hardware system, on this host, we have SLES 15SP2 installed with QEMU and libvirt. Then we have a separate x86 client system, also running SLES 15SP2, where we run virt-manager to connect to the S/390x host's libvirtd. We will therefore drive the installation remotely.

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Build a Fashion-MNIST CNN with PyTorch

This document details the process of developing and optimizing a Convolutional Neural Network (CNN) for the Fashion-MNIST dataset using PyTorch. Building upon the foundational work of "Let's Build a Fashion-MNIST CNN, PyTorch Style" [1], this project introduces significant enhancements, including a redesigned CNN architecture, a systematic hyperparameter tuning process, and comprehensive testing and visualization. The optimized model achieves a training accuracy of 99.02% and a test accuracy of 91.01%, a substantial improvement over baseline models. This report outlines the methodology, model architecture, optimization techniques, and data analysis that led to these results.

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