#from tensorflow.keras.optimizers import Adam # adam=Adam(learning_rate=0.001) model.compile(loss='tf.keras.metrics.mean_squared_error, metrics=[tf.keras.metrics.RootMeanSquaredError(name='rmse')]', optimizer='adam') #rmse model.compile(loss='mse', optimizer='adam') #mse model.compile(loss...
问tf.keras中线性回归模型调优的几个问题EN让我们考虑一组样本X的线性回归模型，其中每个样本都由一个特...
model.summary() model.compile(loss='mse', optimizer='adam', metrics=[rmse]) # train model, test callback option history = model.fit(X_train, Y_train, epochs=75, batch_size=1, verbose=2, callbacks=[callback]) #history = model.fit(X_train, Y_train, epochs=60, batch_size=1, verb...
fromtensorflow.keras.modelsimportSequentialfromtensorflow.keras.layersimportLSTM,Dense,Dropout# 创建输入数据和输出数据defcreate_dataset(data,time_step=1):X,Y=[],[]foriinrange(len(data)-time_step-1):a=data[i:(i+time_step),0]X.append(a)Y.append(data[i+time_step,0])returnnp.array(X),n...
RMSEMAETime (sec/epoch) SVD0.855240.669224 SVD++0.848460.6630640 Dual SVD++0.836720.6525650 Some similar experiments can be found atMyMediaLite,SurpriseandLibRec. References Tensorflow MyMediaLite Surprise LibRec Also see myML2017repo, there is aKerasimplementation for SVD and SVD++ inhw6. ...
问自定义损失函数问题:在图执行中不允许使用`tf.Tensor`作为Python `bool`ENbool() function is used ...