各位大大好，小弟是 ML 剛入門的新手，自己在嘗試建 LSTM 模型，在 model.fit() 的過程，程式跑到 epoch 1/N 就開始不會動了，不過我看 jupyter notebook 的 kernel 是一直在運行的，memory 感覺也有在變動(但是動一下就不動了)，CPU 也是使用率突然升高一陣子之後就沒再動了。

不知道各位大大有沒有類似的經驗可以指點迷津><感恩~~
下方是我的 code ，請參考：

x_train = [[[0.         0.04516129 0.         0.05696203]
            [0.0754717  0.03870968 0.00632911 0.        ]
            [0.01886792 0.         0.01898734 0.01898734]
            ...
            [0.21383648 0.22580645 0.20253165 0.24050633]
            [0.25157233 0.24516129 0.24683544 0.25316456]
            [0.26415094 0.29032258 0.26582278 0.28481013]]
            
           [[0.6163522  0.59354839 0.62025316 0.60759494]
            [0.6163522  0.59354839 0.60759494 0.59493671]
            [0.59748428 0.58709677 0.60126582 0.60126582]
            ...
            [0.64779874 0.62580645 0.65189873 0.63924051]
            [0.65408805 0.63225806 0.65822785 0.64556962]
            [0.64779874 0.62580645 0.65189873 0.63924051]]]
            
y_train =  [0.29746835 0.27848101 0.27848101 ... 0.64556962 0.63924051 0.64556962]

def build_model(input_length, input_dim):
    d = 0.25
    model = Sequential()
    model.add(LSTM(30, input_shape=(input_length, input_dim), return_sequences=True))
    model.add(Dropout(d))
    model.add(LSTM(30,input_shape=(input_length, input_dim), return_sequences=False))
    model.add(Dropout(d))
    model.add(Dense(6,kernel_initializer="uniform",activation='relu'))
    model.add(Dense(1,kernel_initializer="uniform",activation='linear'))
    model.compile(loss='mse',optimizer='adam', metrics=['accuracy'])
    return model

#建立model
model = build_model(30, 4)
train_history = model.fit( x_train, y_train, batch_size=1, epochs=5, validation_split=0.25, verbose=2, use_multiprocessing=False)

output：(卡在這邊不動)