building-neural-networks

Enables creation and modification of neural networks via plugin-based architecture design.

• Designs neural networks for specific tasks.
• Uses neural-network-builder plugin for configuration and execution.
• Automates layer definition and training parameter setup.
• Supports convolutional, recurrent, and transformer architectures.

• Leverages neural-network-builder plugin for network construction.
• Analyzes user requirements to define architecture and parameters.
• Generates and executes build configurations for network layers.
• Supports diverse layer types including CNN, RNN, and transformer.
• Enables precise control over activation functions and layer sizes.
• Integrates with core code environment for full ML workflow.
• Facilitates rapid prototyping and iteration of network designs.

1. 1.Analyze user request to understand task and requirements.
2. 2.Generate configuration for neural-network-builder plugin.
3. 3.Execute build-nn command to construct the network.