Mlp, Time Series Forecasting, Data Science, Machine Learning, TensorFlow.
seharusnya. Bentuk input: [sampel, timesteps]. epochs = 40 batch = 256 lr = 0.0003 model_mlp = Sequential() model_mlp.add(Dense(100, activation='relu', input_dim=X_train.shape[1])) model_mlp.add(Dense(1)) model_mlp.compile(loss='mse', optimizer=adam) model_mlp.summary() Output: mlp_history =