Pytorch, Pytorch Rnn, Pytorch Mnist Dataset, Build Model With Pytorch.
nn.LSTM(input_size, hidden_size, num_layers, batch_first=True) self.fc = nn.Linear(hidden_size, num_classes) pass def forward(self, x): pass pass model = RNN(input_size, hidden_size, num_layers, num_classes).to(device).to(device) print(model) Output: RNN( (lstm): LSTM(28, 128, num_layers=2,