Programming, Artificial Intelligence, Machine Learning, Data Science, Python.
nn.Linear(hidden_dim, input_dim) self.dropout = nn.Dropout(dropout) def forward(self, x): x = self.linear1(x) x = F.relu(x) x = self.dropout(x) x = self.linear2(x) return x class TransformerEncoderBlock(nn.Module): def __init__(self, input_dim, num_heads, feedforward_dim, dropout=0.1):