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Inception Series by Google Research
A family of deep convolutional neural network architectures designed for efficient image classification and recognition tasks.
• Introduced inception modules combining multiple convolutional filters for multi-scale feature extraction
• Achieves high accuracy with optimized computational efficiency
• Includes multiple versions: InceptionV1 (GoogLeNet), V2, V3, V4, and Inception-ResNet variants
• Widely adopted in various computer vision applications
• Open-source implementations available for research and development
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