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A group had issues with the dimensionality of the model due to lack of clarity in the specification of the rows. I share the model here.
import torch.nn as nn
import torch.nn.functional as F
class Net(nn.Module):
def __init__(self):
super().__init__()
# 2 fully connected layers
self.fc1 = nn.Linear(in_features=5001, out_features=1000)
self.fc2 = nn.Linear(in_features=1000, out_features=200)
self.fc3 = nn.Linear(in_features=200, out_features=2)
def forward(self, x):
# pass data through the layers
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = self.fc3(x)
return x
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A group had issues with the dimensionality of the model due to lack of clarity in the specification of the rows. I share the model here.
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