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.

Table of Contents

## 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 ?

**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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