使用卷积神经网络进行图像分类

import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
import cv2
import os
os.environ["TF_CPP_MIN_LOG_LEVEL"] = '2'
import warnings
warnings.filterwarnings('ignore')
from sklearn.metrics import confusion_matrix, classification_report
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Activation, BatchNormalization, Conv2D, Dense, Dropout, Flatten, MaxPooling2D
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.losses import CategoricalCrossentropy
from tensorflow.keras.regularizers import l2
from tensorflow.keras.callbacks import ReduceLROnPlateau, EarlyStopping
from tensorflow.keras.preprocessing import image
from livelossplot import PlotLossesKeras