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
})