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class MyRNN(nn.Module): def __init__(self): super(MyRNN, self).__init__() self.rnn = nn.GRU(input_size=1, hidden_size=30, num_layers=1,batch_first=True) self.rc = nn.Linear(in_features=30, out_features=5) def forward(self, x): t, _ = self.rnn(x) r = self.rc(t[:,
class MyRNN(nn.Module): def __init__(self): super(MyRNN, self).__init__() self.rnn = nn.GRU(input_size=1, hidden_size=30, num_layers=1,batch_first=True) self.rc = nn.Linear(in_features=30, out_features=5) def forward(self, x): t, _ = self.rnn(x) r = self.rc(t[:, -1, :]) return r
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Mobile Communications
Authors: Jochen Schiller
2nd edition
978-0321123817, 321123816, 978-8131724262
