Pytorch, Pytorch Rnn, Pytorch Mnist Dataset, Build Model With Pytorch.
self.fc(out[:, -1, :]) return out pass pass model = RNN(input_size, hidden_size, num_layers, num_classes).to(device) print(model) Output: RNN( (lstm): LSTM(28, 128, num_layers=2, batch_first=True) (fc): Linear(in_features=128, out_features=10, bias=True) ) Define loss function loss_func =