python
from mamba import Mamba
import tensorflow as tf
model = tf.keras.Sequential([
tf.keras.layers.Conv2D(16, 3, activation='relu', input_shape=(32, 32, 3)),
tf.keras.layers.MaxPooling2D(),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(10)
])
mamba = Mamba(model)
mamba.load_dataset('train_data.tfrecords', 'test_data.tfrecords')
mamba.preprocess_data(rescale=1./255, validation_split=0.2)
mamba.train_model(batch_size=32, epochs=10)
mamba.load_weights('model_weights.h5')
mamba.predict('test_image.jpg')
