ValueError: Input 0 of layer 'lstm_2' incompatible with ndim=3, found ndim=2 - LSTM Input Shape Error

This error is caused when the input shape of a layer is not compatible with the expected shape. In this case, the LSTM layer 'lstm_2' expects a 3D input, but it received a 2D input with shape (None, 15872).

To fix this error, you need to reshape your input data to be 3D. The shape should be (batch_size, time_steps, input_dim), where batch_size is the number of samples in each batch, time_steps is the number of time steps in each sample, and input_dim is the number of features in each time step.

You can use the numpy reshape function to reshape your input data. For example:

import numpy as np

# Assuming your input data is stored in a variable called X
# Reshape X to be 3D with shape (batch_size, time_steps, input_dim)
batch_size = X.shape[0]
time_steps = X.shape[1]
input_dim = 1  # Assuming your input data has only one feature
X_3D = np.reshape(X, (batch_size, time_steps, input_dim))

Once your input data is reshaped to be 3D, you can pass it to the LSTM layer and the error should be resolved.