flow-nexus-neural

Flow Nexus Neural Networks

Train custom neural networks with distributed computing.

Train Model

mcp__flow -
  nexus__neural_train({
    config: {
      architecture: {
        type: 'feedforward', // lstm, gan, autoencoder, transformer
        layers: [
          { type: 'dense', units: 128, activation: 'relu' },
          { type: 'dropout', rate: 0.2 },
          { type: 'dense', units: 10, activation: 'softmax' },
        ],
      },
      training: {
        epochs: 100,
        batch_size: 32,
        learning_rate: 0.001,
        optimizer: 'adam',
      },
    },
    tier: 'small', // nano, mini, small, medium, large
  });

Run Inference

mcp__flow -
  nexus__neural_predict({
    model_id: 'model_id',
    input: [
      [0.5, 0.3, 0.2],
      [0.1, 0.8, 0.1],
    ],
    user_id: 'your_id',
  });

Use Templates

// List templates
mcp__flow -
  nexus__neural_list_templates({
    category: 'classification', // regression, nlp, vision, anomaly
    tier: 'free',
    limit: 20,
  });

// Deploy template
mcp__flow -
  nexus__neural_deploy_template({
    template_id: 'sentiment-analysis',
    custom_config: {
      training: { epochs: 50 },
    },
  });

Distributed Training

// Initialize cluster
mcp__flow -
  nexus__neural_cluster_init({
    name: 'training-cluster',
    architecture: 'transformer',
    topology: 'mesh',
    consensus: 'proof-of-learning',
    wasmOptimization: true,
  });

// Deploy nodes
mcp__flow -
  nexus__neural_node_deploy({
    cluster_id: 'cluster_id',
    node_type: 'worker', // parameter_server, aggregator
    model: 'large',
    capabilities: ['training', 'inference'],
  });

// Start training
mcp__flow -
  nexus__neural_train_distributed({
    cluster_id: 'cluster_id',
    dataset: 'mnist',
    epochs: 100,
    federated: true, // Enable federated learning
  });

Model Management

// List your models
mcp__flow -
  nexus__neural_list_models({
    user_id: 'your_id',
    include_public: true,
  });

// Benchmark performance
mcp__flow -
  nexus__neural_performance_benchmark({
    model_id: 'model_id',
    benchmark_type: 'comprehensive',
  });

// Publish as template
mcp__flow -
  nexus__neural_publish_template({
    model_id: 'model_id',
    name: 'My Custom Model',
    description: 'Highly accurate classifier',
    category: 'classification',
    price: 0, // Free template
  });