multipleoutputs | 易学教程

How can I plot output from a function which returns multiple values in Python?

阅读更多关于 How can I plot output from a function which returns multiple values in Python?

问题 Short intro I'm calculating and plotting spectral energy of planets orbiting pulsar from given data. I have previously ordered all data in a list variations with dimensions [172, 2] (172 rows and 2 columns). Firstly, I have to calculate parameters of a presupposed model and spectral energy accordingly (from those very parameters). To do that, I defined a function under which I defined the presupposed model and find_fit function which takes the model and variations data. Code var('a, b, t')

How is a multiple-outputs deep learning model trained?

阅读更多关于 How is a multiple-outputs deep learning model trained?

问题 I think I do not understand the multiple-output networks. Althrough i understand how the implementation is made and i succesfully trained one model like this, i don't understand how a multiple-outputs deep learning network is trained. I mean, what is happening inside the network during training? Take for example this network from the keras functional api guide: You can see the two outputs (aux_output and main_output). How is the backpropagation working? My intuition was that the model does

How is a multiple-outputs deep learning model trained?

阅读更多关于 How is a multiple-outputs deep learning model trained?

I think I do not understand the multiple-output networks. Althrough i understand how the implementation is made and i succesfully trained one model like this, i don't understand how a multiple-outputs deep learning network is trained. I mean, what is happening inside the network during training? Take for example this network from the keras functional api guide : You can see the two outputs (aux_output and main_output). How is the backpropagation working? My intuition was that the model does two backpropagations, one for each output. Each backpropagation then updates the weight of the layers

Keras multiple output: Custom loss function

阅读更多关于 Keras multiple output: Custom loss function

问题 I am using a multiple output model in keras model1 = Model(input=x, output=[y2,y3]) model1.compile((optimizer='sgd', loss=cutom_loss_function) my custom_loss_function is; def custom_loss(y_true, y_pred): y2_pred = y_pred[0] y2_true = y_true[0] loss = K.mean(K.square(y2_true - y2_pred), axis=-1) return loss I only want to train the network on output y2 . What is the shape/structure of the y_pred and y_true argument in loss function when multiple outputs are used? Can I access them as above? Is

How to rename spark data frame output file in AWS in spark SCALA

阅读更多关于 How to rename spark data frame output file in AWS in spark SCALA

问题 I am saving my spark data frame output as csv file in scala with partitions. This is how i do that in Zeppelin . val sqlContext = new org.apache.spark.sql.SQLContext(sc) import sqlContext.implicits._ import org.apache.spark.{ SparkConf, SparkContext } import java.sql.{Date, Timestamp} import org.apache.spark.sql.Row import org.apache.spark.sql.types._ import org.apache.spark.sql.functions.udf import org.apache.spark.sql.functions.input_file_name import org.apache.spark.sql.functions.regexp