Merge branch 'main' into robust-ai

harvard-edge · May 10, 2024 · 98c8b70 · 98c8b70
2 parents 51a4e91 + 063a430
commit 98c8b70
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/contents/frameworks/frameworks.qmd b/contents/frameworks/frameworks.qmd
@@ -486,7 +486,7 @@ TinyML frameworks are specialized for deploying AI models on extremely resource-
 | Edge AI        | TensorFlow Lite, PyTorch Mobile, Core ML | Model optimization, compression, quantization, efficient NN architectures | Mobile apps, robots, autonomous systems, real-time processing |
 | TinyML         | TensorFlow Lite Micro, uTensor, ARM NN | Quantization-aware training, reduced precision, neural architecture search | IoT sensors, wearables, predictive maintenance, gesture recognition |
 
-: Comparison of framework types for Cloud AI, Edge AI, and TinyML. {@tbl-ml_frameworks}
+: Comparison of framework types for Cloud AI, Edge AI, and TinyML. {#tbl-ml_frameworks}
 
 **Key differences:**