diff --git a/Final_Project_Loedige.ipynb b/Final_Project_Loedige.ipynb index d6529c9..86c3d5c 100644 --- a/Final_Project_Loedige.ipynb +++ b/Final_Project_Loedige.ipynb @@ -603,6 +603,927 @@ "source": [ "tkinter.messagebox.showinfo(\"DONE\", \"DONE\")" ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Save data for future use" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Keras weights file () saving:\n", + "...layers\n", + "......dense\n", + ".........vars\n", + "............0\n", + "............1\n", + "......dense_1\n", + ".........vars\n", + "............0\n", + "............1\n", + "......dense_2\n", + ".........vars\n", + "............0\n", + "............1\n", + "......dense_3\n", + ".........vars\n", + "............0\n", + "............1\n", + "......flatten\n", + ".........vars\n", + "...metrics\n", + "......mean\n", 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"..................0\n", + "..................1\n", + "............conv2d_11\n", + "...............vars\n", + "..................0\n", + "..................1\n", + "............conv2d_12\n", + "...............vars\n", + "..................0\n", + "..................1\n", + "............conv2d_2\n", + "...............vars\n", + "..................0\n", + "..................1\n", + "............conv2d_3\n", + "...............vars\n", + "..................0\n", + "..................1\n", + "............conv2d_4\n", + "...............vars\n", + "..................0\n", + "..................1\n", + "............conv2d_5\n", + "...............vars\n", + "..................0\n", + "..................1\n", + "............conv2d_6\n", + "...............vars\n", + "..................0\n", + "..................1\n", + "............conv2d_7\n", + "...............vars\n", + "..................0\n", + "..................1\n", + "............conv2d_8\n", + "...............vars\n", + "..................0\n", + "..................1\n", + "............conv2d_9\n", + "...............vars\n", + "..................0\n", + "..................1\n", + "............input_layer\n", + "...............vars\n", + "............max_pooling2d\n", + "...............vars\n", + "............max_pooling2d_1\n", + "...............vars\n", + "............max_pooling2d_2\n", + "...............vars\n", + "............max_pooling2d_3\n", + "...............vars\n", + "............max_pooling2d_4\n", + "...............vars\n", + ".........vars\n", + "...metrics\n", + "......mean\n", + ".........vars\n", + "............0\n", + "............1\n", + "......mean_metric_wrapper\n", + ".........vars\n", + "............0\n", + "............1\n", + "...optimizer\n", + "......vars\n", + ".........0\n", + ".........1\n", + ".........10\n", + ".........11\n", + ".........12\n", + ".........2\n", + ".........3\n", + ".........4\n", + ".........5\n", + ".........6\n", + ".........7\n", + ".........8\n", + ".........9\n", + "...vars\n", + "Keras model archive saving:\n", + "File Name Modified Size\n", + "variables.h5 2023-02-01 01:27:32 59356288\n", + "config.json 2023-02-01 01:27:31 12391\n", + "metadata.json 2023-02-01 01:27:31 64\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:absl:Found untraced functions such as _update_step_xla while saving (showing 1 of 1). These functions will not be directly callable after loading.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: saved_models/regular Neural Network (3 hidden layers)/assets\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: saved_models/regular Neural Network (3 hidden layers)/assets\n", + "WARNING:absl:Found untraced functions such as _update_step_xla while saving (showing 1 of 1). These functions will not be directly callable after loading.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: saved_models/regular Neural Network (5 hidden layers)/assets\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: saved_models/regular Neural Network (5 hidden layers)/assets\n", + "WARNING:absl:Found untraced functions such as _update_step_xla while saving (showing 1 of 1). These functions will not be directly callable after loading.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: saved_models/regular Neural Network (10 hidden layers)/assets\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: saved_models/regular Neural Network (10 hidden layers)/assets\n", + "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _update_step_xla while saving (showing 2 of 2). These functions will not be directly callable after loading.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: saved_models/convolutional neural network (1 convolution)/assets\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: saved_models/convolutional neural network (1 convolution)/assets\n", + "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _update_step_xla while saving (showing 4 of 4). These functions will not be directly callable after loading.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: saved_models/convolutional neural network (3 convolutions)/assets\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: saved_models/convolutional neural network (3 convolutions)/assets\n", + "WARNING:absl:Found untraced functions such as _update_step_xla, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 14). These functions will not be directly callable after loading.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: saved_models/frozen VGG16 base model/assets\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: saved_models/frozen VGG16 base model/assets\n", + "WARNING:absl:Found untraced functions such as _update_step_xla, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 14). These functions will not be directly callable after loading.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: saved_models/fully trainable VGG16 base model/assets\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: saved_models/fully trainable VGG16 base model/assets\n", + "WARNING:absl:Found untraced functions such as _update_step_xla, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 14). These functions will not be directly callable after loading.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: saved_models/partly trainable VGG16 base model/assets\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: saved_models/partly trainable VGG16 base model/assets\n" + ] + } + ], + "source": [ + "# store histories with pickle\n", + "import pickle\n", + "histories = {}\n", + "for config_name, config in configs.items():\n", + " histories[config_name] = config['history']\n", + "with open('savepoint.pkl', 'wb') as out:\n", + " pickle.dump(histories, out)\n", + "\n", + "# store models with tensorflow\n", + "for config_name, config in configs.items():\n", + " config['model'].save(f'saved_models/{config_name}')\n", + "\n", + "# store models in HDF5 format\n", + "for config_name, config in configs.items():\n", + " config['model'].save(f'hdf5_models/{config_name}.h5')\n" + ] } ], "metadata": { diff --git a/hdf5_models/convolutional neural network (1 convolution).h5 b/hdf5_models/convolutional neural network (1 convolution).h5 new file mode 100644 index 0000000..e56b363 Binary files /dev/null and b/hdf5_models/convolutional neural network (1 convolution).h5 differ diff --git a/hdf5_models/convolutional neural network (3 convolutions).h5 b/hdf5_models/convolutional neural network (3 convolutions).h5 new file mode 100644 index 0000000..25aad90 Binary files /dev/null and b/hdf5_models/convolutional neural network (3 convolutions).h5 differ diff --git a/hdf5_models/frozen VGG16 base model.h5 b/hdf5_models/frozen VGG16 base model.h5 new file mode 100644 index 0000000..5faf285 Binary files /dev/null and b/hdf5_models/frozen VGG16 base model.h5 differ diff --git a/hdf5_models/fully trainable VGG16 base model.h5 b/hdf5_models/fully trainable VGG16 base model.h5 new file mode 100644 index 0000000..2ebbeaf 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100644 index 0000000..de8b8a6 Binary files /dev/null and b/hdf5_models/regular Neural Network (5 hidden layers).h5 differ diff --git a/saved_models/convolutional neural network (1 convolution)/fingerprint.pb b/saved_models/convolutional neural network (1 convolution)/fingerprint.pb new file mode 100644 index 0000000..ff5bd6e Binary files /dev/null and b/saved_models/convolutional neural network (1 convolution)/fingerprint.pb differ diff --git a/saved_models/convolutional neural network (1 convolution)/keras_metadata.pb b/saved_models/convolutional neural network (1 convolution)/keras_metadata.pb new file mode 100644 index 0000000..555c79d --- /dev/null +++ b/saved_models/convolutional neural network (1 convolution)/keras_metadata.pb @@ -0,0 +1,11 @@ + +:root"_tf_keras_sequential*:{"name": "sequential_8", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "must_restore_from_config": false, "preserve_input_structure_in_config": false, 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null, "min_ndim": 2, "axes": {"-1": 3072}}, "shared_object_id": 24}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 3072]}}2 +root.layer_with_weights-1"_tf_keras_layer*{"name": "dense_65", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "preserve_input_structure_in_config": false, "autocast": true, "class_name": "Dense", "config": {"name": "dense_65", "trainable": true, "dtype": "float32", "units": 64, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 5}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 6}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 7, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, 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null}, "shared_object_id": 19, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 2, "axes": {"-1": 64}}, "shared_object_id": 29}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 64]}}2 +root.keras_api.metrics.0"_tf_keras_metric*{"class_name": "Mean", "name": "loss", "dtype": "float32", "config": {"name": "loss", "dtype": "float32"}, "shared_object_id": 30}2 +root.keras_api.metrics.1"_tf_keras_metric*{"class_name": "MeanMetricWrapper", "name": "accuracy", "dtype": "float32", "config": {"name": "accuracy", "dtype": "float32", "fn": "sparse_categorical_accuracy"}, "shared_object_id": 22}2 \ No newline at end of file diff --git a/saved_models/regular Neural Network (5 hidden layers)/saved_model.pb b/saved_models/regular Neural Network (5 hidden layers)/saved_model.pb new file mode 100644 index 0000000..cc31446 Binary files /dev/null and b/saved_models/regular Neural Network (5 hidden layers)/saved_model.pb differ diff --git a/saved_models/regular Neural Network (5 hidden layers)/variables/variables.data-00000-of-00001 b/saved_models/regular Neural Network (5 hidden layers)/variables/variables.data-00000-of-00001 new file mode 100644 index 0000000..19feb22 Binary files /dev/null and b/saved_models/regular Neural Network (5 hidden layers)/variables/variables.data-00000-of-00001 differ diff --git a/saved_models/regular Neural Network (5 hidden layers)/variables/variables.index b/saved_models/regular Neural Network (5 hidden layers)/variables/variables.index new file mode 100644 index 0000000..75bb07c Binary files /dev/null and b/saved_models/regular Neural Network (5 hidden layers)/variables/variables.index differ diff --git a/savepoint.pkl b/savepoint.pkl new file mode 100644 index 0000000..e5a8962 Binary files /dev/null and b/savepoint.pkl differ diff --git a/test.py b/test.py new file mode 100644 index 0000000..c079df0 --- /dev/null +++ b/test.py @@ -0,0 +1,14 @@ +import tensorflow as tf +import tensorflow_datasets as tfds + +new_model = tf.keras.models.load_model('hdf5_models/fully trainable VGG16 base model.h5') +new_model.summary() +ds_train, ds_test = tfds.load( + 'svhn_cropped', + split=['train', 'test'], + shuffle_files=True, + as_supervised=True + ) + +loss, acc = new_model.evaluate(ds_test, verbose=2) +print('Restored model, accuracy: {:5.2f}%'.format(100 * acc))