Created
June 8, 2019 09:10
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| def model(x): | |
| a1 = torch.matmul(x, weights1) + bias1 # (N, 2) x (2, 2) -> (N, 2) | |
| h1 = a1.sigmoid() # (N, 2) | |
| a2 = torch.matmul(h1, weights2) + bias2 # (N, 2) x (2, 4) -> (N, 4) | |
| h2 = a2.exp()/a2.exp().sum(-1).unsqueeze(-1) # (N, 4) | |
| return h2 |
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