đ¤ Enhanced ML Training Controls
đ¯ Model Training
Epochs
?
Batch Size
?
Learning Rate
Validation Split
Optimizer
Adam
SGD
RMSprop
Adamax
đ Start Training
âšī¸ Stop Training
đ Reset Model
Initializing...
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Current Epoch
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Training Loss
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Validation Loss
0s
Time Elapsed
đī¸ Model Architecture
Simple LSTM
Deep LSTM
Bidirectional
With Attention
// Simple LSTM Architecture model.add(tf.layers.lstm({ units: 64, inputShape: [N_LOOKBACK, 1], returnSequences: false })); model.add(tf.layers.dropout({ rate: 0.2 })); model.add(tf.layers.dense({ units: 32, activation: 'relu' })); model.add(tf.layers.dense({ units: 1 }));
â Validate Architecture
đž Save to Browser
đ Load from Browser
đŽ Make Predictions
Prediction Points
?
Confidence Interval
None
50%
80%
95%
đ¯ Generate Predictions
đ Export to CSV
0
Points Generated
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Avg Confidence
0ms
Generation Time
đž Model Management
âŦī¸ Download Model
âŦī¸ Upload Model