Data Science, Machine Learning, Artificial Intelligence, Technology, Stock Market.
batch_first=True) self.attention = nn.Linear(hidden_dim, 1) self.fc = nn.Linear(hidden_dim, output_dim) def forward(self, x): lstm_out, _ = self.lstm(x) attention_weights = torch.softmax(self.attention(lstm_out).squeeze(-1), dim=-1) context_vector = torch.sum(lstm_out *