8fa75e67c0
* Improve intro, add MNIST * Generate relu.cpp * Add nnModule, mnist, Lambda |
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|---|---|---|
| .. | ||
| dl-activations | ||
| dl-capsule | ||
| dl-fcdnn | ||
| dl-fcdnn-mnist | ||
| dl-graphnn | ||
| dl-lstm | ||
| dl-resnet | ||
| dl-rnn | ||
| dl-transformers | ||
| dl-tree | ||
| dl-treenn | ||
| dl-treenn-attn | ||
| dl-vggnet | ||
| ec-blackscholes | ||
| ko-basics | ||
| mf-bundle-adjustment | ||
| mf-curve-fitting | ||
| mf-hand-tracking | ||
| mf-surface-fitting | ||
| micro-logsumexp | ||
| micro-matrix-invinv | ||
| micro-quotient-1 | ||
| milli-horner | ||
| milli-nofib | ||
| ml-gmm | ||
| ml-sparse-gp | ||
| .keep | ||
| ExamplesCommon.fs | ||
| README.md | ||
README.md
Knossos/examples
Examples are in several categories:
- Milli: Milli-benchmarks, e.g. dot product, matrix chain multiply etc
- DL: Deep Learning
- ML: "Classical" machine learning
- MF: Model fitting (other than DL training...)
- CV: Computer Vision
- EC: Economics
- KO: Knossos Optimizers