Как использовать нейронную сеть

Код:

import tensorflow as tf
import numpy as np

from tensorflow.keras.datasets import cifar10
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten
from tensorflow.keras.layers import Conv2D, MaxPooling2D

import pickle

pickle_in = open("X.pickle","rb")
X = pickle.load(pickle_in)
X = np.array(X / 255.0)

pickle_in = open("Y.pickle","rb")
y = pickle.load(pickle_in)
y = np.array (y)

model = Sequential()

model.add(Conv2D(256, (3, 3), input_shape=X.shape[1:]))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))

model.add(Conv2D(256, (3, 3)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))

model.add(Flatten())  # this converts our 3D feature maps to 1D feature vectors

model.add(Dense(64))

model.add(Dense(2))
model.add(Activation('sigmoid'))

model.compile(optimizer='adam', loss=tf.keras.losses.BinaryCrossentropy(from_logits=True), metrics= 
   ['accuracy'])


model.fit(x = X, y = y, batch_size=30, validation_split=0.1, epochs = 10)

Как использовать данную нейросеть?