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* add deep learning guide * seperate out oprimization, reference, and troubleshooting as standalone sections. * resolve lint errors * delete introduction to DL * correct syntax highlights and filename * remove out-of-date QAs * Renaming and cleanup * Spelling * Fixup TOC --------- Co-authored-by: Nara Prasetya <nara@streamhpc.com> Co-authored-by: Saad Rahim <44449863+saadrahim@users.noreply.github.com>
26 lines
626 B
Markdown
26 lines
626 B
Markdown
# All Tutorial Material
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:::::{grid} 1 1 2 2
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:gutter: 1
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:::{grid-item-card} ROCm Examples
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:link: https://github.com/amd/rocm-examples
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:link-type: url
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Samples codes demonstrating and explaining the use of the HIP API as well as
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ROCm-accelerated domain libraries.
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:::
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:::{grid-item-card} AI/ML/Inferencing
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:link: machine_learning/all
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:link-type: doc
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Detailed walkthroughs of specific use-cases driven by frameworks using ROCm
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acceleration.
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- [Implementing Inception V3 on ROCm with PyTorch](machine_learning/pytorch_inception.md)
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- [Optimizing Inference with MIGraphX](machine_learning/migraphx_optimization.md)
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:::
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:::::
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