BaşlayınÜcretsiz Başlayın

Building a forecasting RNN

It's time to build your first recurrent network! It will be a sequence-to-vector model consisting of an RNN layer with two layers and a hidden_size of 32. After the RNN layer, a simple linear layer will map the outputs to a single value to be predicted.

The following imports have already been done for you:

import torch
import torch.nn as nn

Bu egzersiz

Intermediate Deep Learning with PyTorch

kursunun bir parçasıdır
Kursu Görüntüle

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

class Net(nn.Module):
    def __init__(self):
        super().__init__()
        # Define RNN layer
        self.rnn = ____(
            ____,
            ____,
            ____,
            ____,
        )
        self.fc = nn.Linear(32, 1)
Kodu Düzenle ve Çalıştır