Neural Architecture Intelligence
Drop a model file or click below to start analyzing your neural network architecture
Drag & drop your model here
or click to browse
Supported:
Load a model to visualize architecture
Deep Analytics
Comprehensive analysis of your model's architecture and performance characteristics
Parameter Distribution by Layer
Load a model to see analytics
Layer Type Breakdown
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Memory Analysis
Weights
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Activations (Est.)
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Gradients (Training)
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Total Estimated
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Computational Cost
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Est. FLOPs
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Est. Inference
Heaviest Layers
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Layer Explorer
| # | Layer Name | Type | Parameters | Trainable | Input Shape | Output Shape | Activation |
|---|---|---|---|---|---|---|---|
| Load a model to explore layers | |||||||
Model Data Extraction
Deep extraction of model parameters, training artifacts, and inferred metadata
Parameter Statistics
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Total Parameters
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Trainable
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Frozen
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Memory (FP32)
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Memory (FP16)
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Sparsity
Per-Layer Parameters
Training Configuration
Extracting...Optimizer
Type
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Learning Rate
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Weight Decay
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Momentum
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Training Details
Epochs
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Batch Size
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Loss Function
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Device
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Preprocessing Pipeline
InferredNormalization
Mean
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Std
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Type
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Input Transform
Resize
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Color Space
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Input Range
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Channel Order
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Augmentations (Inferred)
Training Data Inference
AI InferredPossible Training Datasets
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--%
Task Classification
Input Type
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Task Type
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Num Classes
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Est. Dataset Size
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Detected Class Labels
No class labels detected
Architecture Detection
DetectedUnknown
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Backbone
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Head
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Depth
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Width
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Quantization & Optimization
Not Quantized
Precision
FP32
Model Size
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Potential FP16 Size
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Potential INT8 Size
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Raw Extracted Data
// Load a model to see extracted data
General Settings
Theme
Choose your preferred color scheme
Auto-load sample
Load sample model on startup
Animation speed
Control transition speeds
Visualizer Settings
Default layout
Initial visualization layout
Show parameter counts
Display params on layer nodes
Show minimap
Display navigation minimap
Node size scaling
Scale nodes by parameter count
Export Settings
Image quality
PNG export resolution multiplier
Include metadata in JSON
Add full layer details to exports
Background in export
Include background color in images
Metrics & Analysis
Memory estimation precision
Float32 (4B) vs Float16 (2B)
Show FLOPs estimates
Display computational cost
Health score threshold
Minimum score for "healthy" badge
Data & Storage
History limit
Max recent models to remember
Clear history
Remove all recent models
Reset all settings
Restore defaults
About Lucefact
Lucefact
Version 2.67.0
Neural Architecture Intelligence Platform
© 2026 Lucefact. All rights reserved.
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Models Analyzed
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Parameters Processed