Update docs metadata (#3781)

docs/reference/nn/autobackend.md

@@ -1,3 +1,8 @@
+---
+description: Get to know more about Ultralytics nn.autobackend.check_class_names functionality. Optimize your YOLO models seamlessly.
+keywords: Ultralytics, AutoBackend, check_class_names, YOLO, YOLO models, optimization
+---
+
 ## AutoBackend
 ---
 ### ::: ultralytics.nn.autobackend.AutoBackend
@@ -6,4 +11,4 @@
 ## check_class_names
 ---
 ### ::: ultralytics.nn.autobackend.check_class_names
-<br><br>
+<br><br>

docs/reference/nn/modules/block.md

@@ -1,3 +1,8 @@
+---
+description: Explore Ultralytics YOLO neural network modules, Proto to BottleneckCSP. Detailed explanation of each module with easy-to-follow code examples.
+keywords: YOLO, Ultralytics, neural network, nn.modules.block, Proto, HGBlock, SPPF, C2, C3, RepC3, C3Ghost, Bottleneck, BottleneckCSP
+---
+
 ## DFL
 ---
 ### ::: ultralytics.nn.modules.block.DFL
@@ -81,4 +86,4 @@
 ## BottleneckCSP
 ---
 ### ::: ultralytics.nn.modules.block.BottleneckCSP
-<br><br>
+<br><br>

docs/reference/nn/modules/conv.md

@@ -1,3 +1,8 @@
+---
+description: Explore various Ultralytics convolution modules including Conv2, DWConv, ConvTranspose, GhostConv, Channel Attention and more.
+keywords: Ultralytics, Convolution Modules, Conv2, DWConv, ConvTranspose, GhostConv, ChannelAttention, CBAM, autopad
+---
+
 ## Conv
 ---
 ### ::: ultralytics.nn.modules.conv.Conv
@@ -66,4 +71,4 @@
 ## autopad
 ---
 ### ::: ultralytics.nn.modules.conv.autopad
-<br><br>
+<br><br>

docs/reference/nn/modules/head.md

@@ -1,3 +1,8 @@
+---
+description: Explore docs covering Ultralytics YOLO detection, pose & RTDETRDecoder. Comprehensive guides to help you understand Ultralytics nn modules.
+keywords: Ultralytics, YOLO, Detection, Pose, RTDETRDecoder, nn modules, guides
+---
+
 ## Detect
 ---
 ### ::: ultralytics.nn.modules.head.Detect
@@ -21,4 +26,4 @@
 ## RTDETRDecoder
 ---
 ### ::: ultralytics.nn.modules.head.RTDETRDecoder
-<br><br>
+<br><br>

docs/reference/nn/modules/transformer.md

@@ -1,3 +1,8 @@
+---
+description: Learn about Ultralytics transformer encoder, layer, MLP block, LayerNorm2d and the deformable transformer decoder layer. Expand your understanding of these crucial AI modules.
+keywords: Ultralytics, Ultralytics documentation, TransformerEncoderLayer, TransformerLayer, MLPBlock, LayerNorm2d, DeformableTransformerDecoderLayer
+---
+
 ## TransformerEncoderLayer
 ---
 ### ::: ultralytics.nn.modules.transformer.TransformerEncoderLayer
@@ -46,4 +51,4 @@
 ## DeformableTransformerDecoder
 ---
 ### ::: ultralytics.nn.modules.transformer.DeformableTransformerDecoder
-<br><br>
+<br><br>

docs/reference/nn/modules/utils.md

@@ -1,3 +1,8 @@
+---
+description: Explore Ultralytics neural network utils, such as bias_init_with_prob, inverse_sigmoid and multi_scale_deformable_attn_pytorch functions.
+keywords: Ultralytics, neural network, nn.modules.utils, bias_init_with_prob, inverse_sigmoid, multi_scale_deformable_attn_pytorch
+---
+
 ## _get_clones
 ---
 ### ::: ultralytics.nn.modules.utils._get_clones
@@ -21,4 +26,4 @@
 ## multi_scale_deformable_attn_pytorch
 ---
 ### ::: ultralytics.nn.modules.utils.multi_scale_deformable_attn_pytorch
-<br><br>
+<br><br>

docs/reference/nn/tasks.md

@@ -1,3 +1,8 @@
+---
+description: Explore Ultralytics YOLO docs to understand task-specific models like DetectionModel, PoseModel, RTDETRDetectionModel and more. Plus, learn about ensemble, model loading.
+keywords: Ultralytics, YOLO docs, DetectionModel, SegmentationModel, ClassificationModel, Ensemble, torch_safe_load, yaml_model_load, guess_model_task
+---
+
 ## BaseModel
 ---
 ### ::: ultralytics.nn.tasks.BaseModel
@@ -71,4 +76,4 @@
 ## guess_model_task
 ---
 ### ::: ultralytics.nn.tasks.guess_model_task
-<br><br>
+<br><br>