Build Neural Network With Ms Excel New -

| | A | B | C | D | E | F | G | H | I | J | K | L | M | |-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----| | 1 | | A | B | Y | | W1 | | | b1 | | W2 | | b2 | | 2 | | | | | | col1| col2| | | | | | | | 3 | | 0 | 0 | 0 | | 0.5 | -0.6| | 0.1 | | 0.4 | | 0.2 | | 4 | | 0 | 1 | 1 | | 0.7 | 0.2 | | -0.2| | -0.3| | | | 5 | | 1 | 0 | 1 | | | | | | | | | | | 6 | | 1 | 1 | 0 | | | | | | | | | |

(Initial weights are small random numbers – you can type your own.) build neural network with ms excel new

┌─────────────────────────────────────────────┐
│  Neural Network Builder          [X]  [?]   │
├─────────────────────────────────────────────┤
│  Layers:                                     │
│  [Layer 1: Input ] size: 5                  │
│  [Layer 2: Hidden] size: 12  Act: ReLU   [X]│
│  [Layer 3: Hidden] size: 6   Act: ReLU   [X]│
│  [Layer 4: Output] size: 1   Act: Sigmoid   │
│                                [+ Add Layer] │
├─────────────────────────────────────────────┤
│  Training:                                   │
│  Learning rate: [0.01  ▼]  Epochs: [2000]   │
│  Batch size:   [32    ▼]  Optimizer: [Adam ▼]│
│  Loss function: [Binary Cross-Entropy ▼]    │
│  [ Initialize ]  [ Train ]  [ Predict ]     │
├─────────────────────────────────────────────┤
│  Current Loss: 0.237 │ Loss chart (live)    │
│  Best Loss:    0.191 │    \_/‾‾‾‾‾\_        │
└─────────────────────────────────────────────┘

In the old days, you typed random numbers manually. Now, use RANDARRAY: | | A | B | C |

Why this is "New": The single formula spills dynamically. If you change the architecture, the array resizes automatically without dragging cells. In the old days, you typed random numbers manually