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[Solved] ValueError: Input 0 of layer sequential is incompatible with the layer: : expected min_ndim=4, found ndim=2. Full shape received: [None, 2584]

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error ValueError: Input 0 of layer sequential is incompatible with the layer: : expected min_ndim=4, found ndim=2. Full shape received: [None, 2584] 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 ValueError: Input 0 of layer sequential is incompatible with the layer: : expected min_ndim=4, found ndim=2. Full shape received: [None, 2584] Error Occurs?

Today I get the following error ValueError: Input 0 of layer sequential is incompatible with the layer: : expected min_ndim=4, found ndim=2. Full shape received: [None, 2584] in Python.

How To Solve ValueError: Input 0 of layer sequential is incompatible with the layer: : expected min_ndim=4, found ndim=2. Full shape received: [None, 2584] Error ?

  1. How To Solve ValueError: Input 0 of layer sequential is incompatible with the layer: : expected min_ndim=4, found ndim=2. Full shape received: [None, 2584] Error ?

    To Solve ValueError: Input 0 of layer sequential is incompatible with the layer: : expected min_ndim=4, found ndim=2. Full shape received: [None, 2584] Error It's probably an issue with specifying input data to Keras' fit() function. I would recommend using a tf.data.Dataset as input to fit() like so:

Solution 1

It’s probably an issue with specifying input data to Keras’ fit() function. I would recommend using a tf.data.Dataset as input to fit() like so:

import tensorflow as tf

train_data = tf.data.Dataset.from_tensor_slices((trainMixed, trainVocals))
valid_data = tf.data.Dataset.from_tensor_slices((testMixed, testVocals))

model.fit(train_data, epochs=10, validation_data=valid_data)

You can then also use functions like shuffle() and batch() on the TF datasets.

EDIT: It also seems like your input shapes are incorrect. The input_shape you specified for the first conv layer is (513, 25, 1), so the input should be a batch tensor of shape (batch_size, 513, 25, 1), whereas you’re inputting the shape (batch_size, 2584). So you’ll need to reshape and probably cut your inputs to the specified shape, or specify a new shape.

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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