ixdnn

What problem does it solve?

This Skill provides a comprehensive library of core deep neural network components, enabling efficient construction and deployment of neural models.

Core Features & Use Cases

• Construct neural networks with convolution, pooling, normalization, and activation operators.
• Accelerate model inference and training by utilizing optimized primitives tailored for hardware acceleration.
• Use Case: Developers can rapidly prototype and deploy deep learning models for vision or speech tasks, reducing development time significantly.

Quick Start

Use the ixdnn library to build a convolutional neural network for image classification training and inference.