def __init__(self, hidden_size, out_size):
super().__init__()
self.rnn = L.RNN(hidden_size)
self.h2y = L.Linear(out_size)
if '__file__' in globals():
import os, sys
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
import numpy as np
from dezero import Model
import dezero.functions as F
import dezero.layers as L
from dezero.utils import plot_dot_graph
rnn = L.RNN(10) # 隠れ層のサイズだけを指定
x = np.random.rand(1, 1)
h = rnn(x)
print(h.shape)
class SimpleRNN(Model):
def __init__(self, hidden_size, out_size):
super().__init__()
self.rnn = L.RNN(hidden_size)
self.fc = L.Linear(out_size)
def reset_state(self):
self.rnn.reset_state()
def forward(self, x):
h = self.rnn(x)
y = self.fc(h)
return y
seq_data = [np.random.randn(1, 1) for _ in range(10)] # ダミーの時系列データ
