python - How should i feed this input into my regression network in tensorflow -
i working tensorflow, trying implement neural network regression purposes. regression consist of mapping input output. input in case samples , framed audio files, , output has mapped set of mfcc features each frame should correspond to. the input stored this. #one audio set [array([[frame],[frame],...,[frame]],dtype=float32)] and output stored this [array([[feature1, feature2, feature3, feature4, feature5, feature6, feature7, feature8, feature9, feature10, feature11, feature12, feature13],....,[...]])] the model trying input simple linear model. since input or output data isn't 1 dimensional dataset, have provide in way such capable of handling vector sizes. # set model weights w = tf.variable(rng.randn(), name="weight") b = tf.variable(rng.randn(), name="bias") # construct linear model pred = tf.add(tf.mul(x, w), b) evaluated solutions one solution flatten both input, , output , make use of...