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Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>
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Jael Gu 6 months ago
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@ -51,6 +51,8 @@ The `towhee/transform-image` Operator is used for image transformation and is an
- https://pytorch.org/vision/stable/transforms.html - https://pytorch.org/vision/stable/transforms.html
# More Resources # More Resources
- [Scalar Quantization and Product Quantization - Zilliz blog](https://zilliz.com/learn/scalar-quantization-and-product-quantization): A hands-on dive into scalar quantization (integer quantization) and product quantization with Python. - [Scalar Quantization and Product Quantization - Zilliz blog](https://zilliz.com/learn/scalar-quantization-and-product-quantization): A hands-on dive into scalar quantization (integer quantization) and product quantization with Python.
@ -61,4 +63,3 @@ The `towhee/transform-image` Operator is used for image transformation and is an
- [Understanding ImageNet: A Key Resource for Computer Vision and AI Research](https://zilliz.com/glossary/imagenet): The large-scale image database with over 14 million annotated images. Learn how this dataset supports advancements in computer vision. - [Understanding ImageNet: A Key Resource for Computer Vision and AI Research](https://zilliz.com/glossary/imagenet): The large-scale image database with over 14 million annotated images. Learn how this dataset supports advancements in computer vision.
- [Image Embeddings for Enhanced Image Search - Zilliz blog](https://zilliz.com/learn/image-embeddings-for-enhanced-image-search): Image Embeddings are the core of modern computer vision algorithms. Understand their implementation and use cases and explore different image embedding models. - [Image Embeddings for Enhanced Image Search - Zilliz blog](https://zilliz.com/learn/image-embeddings-for-enhanced-image-search): Image Embeddings are the core of modern computer vision algorithms. Understand their implementation and use cases and explore different image embedding models.
- [Batch vs Layer Normalization - Zilliz blog](https://zilliz.com/learn/layer-vs-batch-normalization-unlocking-efficiency-in-neural-networks): A guide to equip developers with the knowledge to unlock efficiency and enhance model performance. - [Batch vs Layer Normalization - Zilliz blog](https://zilliz.com/learn/layer-vs-batch-normalization-unlocking-efficiency-in-neural-networks): A guide to equip developers with the knowledge to unlock efficiency and enhance model performance.
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