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Docs updates for HUB, YOLOv4, YOLOv7, NAS (#3174)

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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Sergiu Waxmann
2023-06-15 21:17:10 +02:00
committed by GitHub
parent c340f84ce9
commit 2f02d8ea53
179 changed files with 786 additions and 206 deletions
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docs/reference/nn/modules/block.md
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description: Explore ultralytics.nn.modules.block to build powerful YOLO object detection models. Master DFL, HGStem, SPP, CSP components and more.
keywords: Ultralytics, NN Modules, Blocks, DFL, HGStem, SPP, C1, C2f, C3x, C3TR, GhostBottleneck, BottleneckCSP, Computer Vision
---
# DFL
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# BottleneckCSP
---
:::ultralytics.nn.modules.block.BottleneckCSP
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docs/reference/nn/modules/conv.md
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description: Explore convolutional neural network modules & techniques such as LightConv, DWConv, ConvTranspose, GhostConv, CBAM & autopad with Ultralytics Docs.
keywords: Ultralytics, Convolutional Neural Network, Conv2, DWConv, ConvTranspose, GhostConv, ChannelAttention, CBAM, autopad
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# Conv
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# autopad
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:::ultralytics.nn.modules.conv.autopad
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docs/reference/nn/modules/head.md
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description: 'Learn about Ultralytics YOLO modules: Segment, Classify, and RTDETRDecoder. Optimize object detection and classification in your project.'
keywords: Ultralytics, YOLO, object detection, pose estimation, RTDETRDecoder, modules, classes, documentation
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# Detect
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# RTDETRDecoder
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:::ultralytics.nn.modules.head.RTDETRDecoder
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docs/reference/nn/modules/transformer.md
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description: Explore the Ultralytics nn modules pages on Transformer and MLP blocks, LayerNorm2d, and Deformable Transformer Decoder Layer.
keywords: Ultralytics, NN Modules, TransformerEncoderLayer, TransformerLayer, MLPBlock, LayerNorm2d, DeformableTransformerDecoderLayer, examples, code snippets, tutorials
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# TransformerEncoderLayer
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# DeformableTransformerDecoder
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:::ultralytics.nn.modules.transformer.DeformableTransformerDecoder
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docs/reference/nn/modules/utils.md
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description: 'Learn about Ultralytics NN modules: get_clones, linear_init_, and multi_scale_deformable_attn_pytorch. Code examples and usage tips.'
keywords: Ultralytics, NN Utils, Docs, PyTorch, bias initialization, linear initialization, multi-scale deformable attention
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# _get_clones
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# multi_scale_deformable_attn_pytorch
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:::ultralytics.nn.modules.utils.multi_scale_deformable_attn_pytorch
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