noahl.dev
Hopfield
Neural network
x
y
−1
+1
● A
□ B
Erase
Clear
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Clusters
XOR
Circle
Input
Layer 0, neuron 1: 0.000
x
Layer 0, neuron 2: 0.000
y
Hidden
Layer 1, neuron 1: 0.000
Layer 1, neuron 2: 0.000
Layer 1, neuron 3: 0.000
Layer 1, neuron 4: 0.000
Layer 1, neuron 5: 0.000
Layer 1, neuron 6: 0.000
Hidden
Layer 2, neuron 1: 0.000
Layer 2, neuron 2: 0.000
Layer 2, neuron 3: 0.000
Layer 2, neuron 4: 0.000
Layer 2, neuron 5: 0.000
Layer 2, neuron 6: 0.000
Output
Layer 3, neuron 1: 0.000
Loss
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Step
Reset
Epoch 0
Settings
Hidden layers
0
1
2
3
4
5
6
7
8
Neurons / layer
2
4
6
8
12
16
Activation
Tanh
ReLU
Leaky ReLU
Sigmoid
Learning rate
0.001
0.003
0.01
0.03
0.1
0.3
Optimizer
Adam
SGD
Batch size
4
8
16
32
64
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