<a style='color:#f60; text-decoration:underline;' href="https://www.php.cn/zt/15906.html" target="_blank">composer</a> require tensorflow/tensorflow \
keras-team/keras-api \
keras-team/keras-preprocessing

use TensorFlow\TensorFlow;
use Keras\Model;
use Keras\Layers\Dense;
use Keras\Layers\Flatten;
use Keras\Layers\Conv2D;
use Keras\LayersMaxpoling2D;
use Keras\Preprocessing\Image;

$image = (new Image())->load('my_image.jpg')->resize(32, 32);

$model = (new Model())
    ->add((new Conv2D(32, kernel_size: (3, 3), activation: 'relu'))->input_shape((32, 32, 3)))
    ->add((new Maxpoling2D(pool_size: (2, 2))))
    ->add((new Flatten()))
    ->add((new Dense(64, activation: 'relu')))
    ->add((new Dense(10, activation: 'softmax')));

$model->compile(optimizer: 'adam', loss: 'sparse_categorical_crossentropy', metrics: ['accuracy']);

$model->fit([$image], [1], epochs: 10);

$predictions = $model->predict([$image]);