Please initialize `TimeDistributed` layer with a `tf.keras.layers.Layer` instance. Received: 10

The error message suggests that you are trying to initialize a `TimeDistributed` layer with an integer value of 10, instead of a `tf.keras.layers.Layer` instance.

Here is an example of how to use the `TimeDistributed` layer in Keras:

import tensorflow as tf
from tensorflow.keras.layers import TimeDistributed, Dense, LSTM

# Define the input shape
input_shape = (None, 10, 50)  # (batch_size, time_steps, input_dim)

# Define the model architecture
model = tf.keras.Sequential([
    TimeDistributed(Dense(64), input_shape=input_shape),
    TimeDistributed(LSTM(32)),
    TimeDistributed(Dense(16)),
    LSTM(8),
    Dense(1)
])

# Compile the model
model.compile(optimizer='adam', loss='mse')

In this example, we are using the `TimeDistributed` layer to apply a `Dense`, `LSTM`, and another `Dense` layer to each time step of the input sequence. The `TimeDistributed` layer takes a `Layer` instance as its input argument, not an integer value.