基础参数 model = Sequential() model.add(GRU(1000,input_shape=(train_X.shape[1], train_X.shape[2]))) model.add(Dense(1)) model.compile(loss='mse', optimizer=Adam(learning_rate=0.001),metrics=['mae', 'acc']) history = model.fit(train_X, train_y, epochs=400, batch_size=300, v...
model=Sequential()model.add(LSTM(units=72,activation='tanh',input_shape=(look_back,1)))model.add(Dense(1))model.compile(loss='mean_squared_error',optimizer='Adam',metrics=['mape'])model.fit(x=X_train,y=y_train,epochs=500,batch_size=18,verbose=2)# Make predictions forecasts=model.pred...
defadd_input_layer(self,):# 定义输入层xs变量 将xs三维数据转换成二维 #[None,n_steps,input_size]=>(batch*n_step,in_size)l_in_x=tf.reshape(self.xs,[-1,self.input_size],name='2_2D')#定义输入权重(in_size,cell_size)Ws_in=self._weight_variable([self.input_size,self.cell_size])#...
"in":tf.Variable(tf.random_normal([n_inputs,n_in_units])), "out":tf.Variable(tf.random_normal([n_hidden_units,n_classes])) } biases ={ "in":tf.Variable(tf.constant(0.1,shape=[n_in_units])), "out":tf.Variable(tf.constant(0.1,shape=[n_classes])) } # define the model def...
https://zh.gluon.ai/chapter_recurrent-neural-networks/lang-model.html 翻译自: https://stackabuse.com/seaborn-library-for-data-visualization-in-python-part-1/ https://stackabuse.com/time-series-prediction-using-lstm-with-pytorch-in-python/ ...
Motivate and briefly discuss an LSTM model as it allows one to predict more than one step ahead. Predict and visualize future stock market with current data If you're unfamiliar with deep learning or neural networks, you should look at our Deep Learning in Python course. It covers the basi...
model.add(Dense(1)) model.compile(optimizer='adam', loss='mse')print(model.summary()) 在上面的脚本中,我们创建了一个LSTM模型,该模型具有一层包含50个神经元和relu激活功能的LSTM层。您可以看到输入形状为(1,1),因为我们的数据具有一个功能的时间步长。
Code Issues Pull requests A LSTM model using Risk Estimation loss function for stock trades in market deep-learningneural-networkstocklstmlstm-modelloss-functionsstock-predictionlstm-networks UpdatedAug 4, 2020 Python jinglescode/time-series-forecasting-pytorch ...
调用模型 输入数据modelname=query_param['modelName']paramCodes=query_param['paramCodes']paramCode=...
fc(x)returnx# 示例输入input_channels=1lstm_hidden_size=64lstm_num_layers=2num_classes=10model=...