视频智能分类如何创建

import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Conv3D, MaxPooling3D, Flatten, Dense

# 假设我们已经有预处理好的视频数据集
# 数据集格式：(num_samples, time_steps, height, width, channels)

# 构建模型
model = Sequential([
    Conv3D(32, kernel_size=(3, 3, 3), activation='relu', input_shape=(10, 64, 64, 3)),
    MaxPooling3D(pool_size=(2, 2, 2)),
    Conv3D(64, kernel_size=(3, 3, 3), activation='relu'),
    MaxPooling3D(pool_size=(2, 2, 2)),
    Flatten(),
    Dense(128, activation='relu'),
    Dense(num_classes, activation='softmax')
])

# 编译模型
model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])

# 训练模型
model.fit(train_data, train_labels, epochs=10, batch_size=32, validation_split=0.2)