Searched on Google with the first line of a JAVA stack trace?

We can recommend more relevant solutions and speed up debugging when you paste your entire stack trace with the exception message. Try a sample exception.

Recommended solutions based on your search

Solutions on the web

via Stack Overflow by Jerome tan
, 1 year ago
Input that is not a matrix; expected matrix (rank 2), got rank 4 array with shape [128, 1, 28, 28]
via GitHub by Jayeshecs
, 1 year ago
Input size (235 columns; shape = [1, 235]) is invalid: does not match layer input size (layer # inputs = 220)
via GitHub by crockpotveggies
, 7 months ago
Input that is not a matrix; expected matrix (rank 2), got rank 4 array with shape [48, 736, 1, 1]
org.deeplearning4j.exception.DL4JInvalidInputException: Input that is not a matrix; expected matrix (rank 2), got rank 4 array with shape [128, 1, 28, 28]	at org.deeplearning4j.nn.layers.BaseLayer.preOutput(BaseLayer.java:363)	at org.deeplearning4j.nn.layers.BaseLayer.activate(BaseLayer.java:384)	at org.deeplearning4j.nn.layers.BaseLayer.activate(BaseLayer.java:405)	at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.activationFromPrevLayer(MultiLayerNetwork.java:590)	at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.feedForwardToLayer(MultiLayerNetwork.java:713)	at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.computeGradientAndScore(MultiLayerNetwork.java:1821)	at org.deeplearning4j.optimize.solvers.BaseOptimizer.gradientAndScore(BaseOptimizer.java:151)	at org.deeplearning4j.optimize.solvers.StochasticGradientDescent.optimize(StochasticGradientDescent.java:54)	at org.deeplearning4j.optimize.Solver.optimize(Solver.java:51)	at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:1443)	at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:1408)	at org.deeplearning4j.examples.dataExamples.AnomalyTest.main(AnomalyTest.java:86)