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[Solved] Keras ValueError: Input 0 is incompatible with layer conv2d_1: expected ndim=4, found ndim=5

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error Keras ValueError: Input 0 is incompatible with layer conv2d_1: expected ndim=4, found ndim=5 in python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How Keras ValueError: Input 0 is incompatible with layer conv2d_1: expected ndim=4, found ndim=5 Error Occurs?

Today I get the following error Keras ValueError: Input 0 is incompatible with layer conv2d_1: expected ndim=4, found ndim=5 in python.

How To Solve Keras ValueError: Input 0 is incompatible with layer conv2d_1: expected ndim=4, found ndim=5 Error ?

  1. How To Solve Keras ValueError: Input 0 is incompatible with layer conv2d_1: expected ndim=4, found ndim=5 Error ?

    To Solve Keras ValueError: Input 0 is incompatible with layer conv2d_1: expected ndim=4, found ndim=5 Error It should actually contain 3 dimensions only. And internally keras will add the batch dimension making it 4.

  2. Keras ValueError: Input 0 is incompatible with layer conv2d_1: expected ndim=4, found ndim=5

    To Solve Keras ValueError: Input 0 is incompatible with layer conv2d_1: expected ndim=4, found ndim=5 Error It should actually contain 3 dimensions only. And internally keras will add the batch dimension making it 4.

Solution 1

The problem is input_shape.

It should actually contain 3 dimensions only. And internally keras will add the batch dimension making it 4.

Since you probably used input_shape with 4 dimensions (batch included), keras is adding the 5th.

You should use input_shape=(32,32,1).

Solution 2

The problem is with input_shape. Try adding an extra dimension/channel for letting keras know that you are working on a grayscale image ie –>1

input_shape= (56,56,1). Probably if you are using a normal Deep learning model then it won’t raise an issue but for Convnet it does.

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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