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mkdocs.yml
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mkdocs.yml
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site_name: Larq
site_description: "Larq is an open-source deep learning library based on TensorFlow and Keras for training neural networks with extremely low-precision weights and activations, such as Binarized Neural Networks."
site_author: "Plumerai"
site_url: "https://docs.larq.dev/"
nav:
- Larq:
- Getting Started: larq/index.md
- User Guides:
- Key Concepts: larq/guides/key-concepts.md
- Building BNNs: larq/guides/bnn-architecture.md
- Training BNNs: larq/guides/bnn-optimization.md
- Tutorials:
- Introduction to BNNs with Larq: larq/tutorials/mnist.ipynb
- BinaryNet on CIFAR10: larq/tutorials/binarynet_cifar10.ipynb
- API:
- Layers: larq/api/layers.md
- Quantizers: larq/api/quantizers.md
- Activations: larq/api/activations.md
- Constraints: larq/api/constraints.md
- Context: larq/api/context.md
- Callbacks: larq/api/callbacks.md
- Optimizers: larq/api/optimizers.md
- Math: larq/api/math.md
- Models: larq/api/models.md
- Metrics: larq/api/metrics.md
- FAQ: larq/faq.md
- Zoo:
- Getting Started: zoo/index.md
- Tutorials: zoo/tutorials.ipynb
- API:
- zoo: zoo/api/index.md
- zoo.literature: zoo/api/literature.md
- zoo.sota: zoo/api/sota.md
- Compute Engine:
- Getting Started: compute-engine/index.md
- End to End Guide: compute-engine/end_to_end.ipynb
- Model Optimization Guide: compute-engine/model_optimization_guide.md
- Benchmark: compute-engine/benchmark.md
- Deploy:
- Inference from C++: compute-engine/inference.md
- Build an Android App: compute-engine/quickstart_android.md
- Build:
- Build from source: compute-engine/build/index.md
- Build for ARM: compute-engine/build/arm.md
- Build for Android: compute-engine/build/android.md
- Build Converter: compute-engine/build/converter.md
- Build inside Docker: compute-engine/build/docker.md
- API:
- Python API: compute-engine/api/python.md
- TFLite Operators: compute-engine/api/operators.md
repo_url: https://github.com/larq/larq
repo_name: larq/larq
edit_uri: ""
theme:
name: material
custom_dir: theme
logo: images/logo-big-font.svg
favicon: images/favicon-32.png
icon:
repo: fontawesome/brands/github
palette:
primary: white
scheme: preference
# accent: blue
font:
text: "Work Sans"
code: "Roboto Mono"
features:
- navigation.tabs
- navigation.instant
extra:
social:
- icon: fontawesome/brands/github
link: https://github.com/larq
- icon: fontawesome/solid/comment
link: https://github.com/larq/larq/discussions
- icon: fontawesome/brands/twitter
link: https://twitter.com/plumerai
- icon: fontawesome/brands/linkedin
link: https://www.linkedin.com/company/plumerai/
markdown_extensions:
- admonition
- codehilite
- footnotes
- pymdownx.superfences:
custom_fences:
- name: plot-activation
class: larq-activation
format: !!python/name:plot_altair.plot_activation
- name: plot-altair
class: larq-altair
format: !!python/name:plot_altair.html_format
- name: netron
class: larq-netron
format: !!python/name:netron_link.html_format
- name: summary
class: larq-netron
format: !!python/name:model_summary.html_format
- pymdownx.tabbed
- pymdownx.arithmatex
- toc:
permalink: true
extra_javascript:
- extra.js
extra_css:
- styles.css
plugins:
- search
- minify:
minify_html: true
- mknotebooks:
execute: false
enable_default_jupyter_cell_styling: false
enable_default_pandas_dataframe_styling: false
- exclude:
glob:
- "*/api_page_templates/*"
- redirects:
redirect_maps:
index.md: larq/index.md
faq.md: larq/faq.md
compute-engine/api/converter.md: compute-engine/api/python.md