Back to DashboardShape: [1, 16] • dtype: float32
FindBack AI & TensorFlow.js Neural Lab
Live client-side neural network inference for high-precision ownership verification, spatial-temporal matching, and multi-modal latent embeddings.
Sub-Millisecond Inference
Zero network roundtrips. Executes neural forward propagation locally in the browser with WebGL hardware GPU acceleration.
16-D Latent Space Embeddings
Vectorizes physical item characteristics, claimant answers, and geolocation coordinates into dense embedding tensors.
Anti-Fraud Penalty Dampener
Active neural penalty weights penalize vague, robotic, or evasive responses in real-time before claim handovers.
TensorFlow.js Real-Time Neural Predictorv4.22
Real-time on-device inference with float32 tensor vectorization, live activations, and sub-millisecond execution.
BackendNative Tensor Accel
Latency2.21 ms
Neural Match ProbabilityUNCERTAIN
71%P = 0.7127
0.0 (Mismatch)0.5 (Neutral)1.0 (Verified)
Extracted Tensor Weights
Text Semantics50%
Visual Corroboration95%
Spatial Proximity98%
Entropy / Uniqueness100%
Softmax Category Distribution
Electronics32%
Wallets21%
Keys & Charms11%
Bags & Luggage21%
Latent Space Neural Embeddings (16-D Tensor Vector)
t0
0.00
t1
0.24
t2
0.31
t3
0.26
t4
0.00
t5
0.00
t6
0.07
t7
0.00
t8
0.39
t9
0.00
t10
0.83
t11
0.37
t12
0.00
t13
0.34
t14
0.44
t15
0.00
Real-Time Input Tuning & Neural Simulation Live Reactive Pass
Distance Proximity:1.2 km
Time Delta:3.5 hours
Distinctive Traits:3 matches
On-Device Training & Adam Optimizer
Train neural weights directly in the client browser with live gradient descent.
Loss (MSE)0.048