#?Copyright?2017?Abien?Fred?Agarap

#?Licensed?under?the?Apache?License?Version?2.0?（the?“License“）;
#?you?may?not?use?this?file?except?in?compliance?with?the?License.
#?You?may?obtain?a?copy?of?the?License?at

#????http://www.apache.org/licenses/LICENSE-2.0

#?Unless?required?by?applicable?law?or?agreed?to?in?writing?software
#?distributed?under?the?License?is?distributed?on?an?“AS?IS“?BASIS
#?WITHOUT?WARRANTIES?OR?CONDITIONS?OF?ANY?KIND?either?express?or?implied.
#?See?the?License?for?the?specific?language?governing?permissions?and
#?limitations?under?the?License.

“““Implementation?of?the?CNN?classes“““
from?__future__?import?absolute_import
from?__future__?import?division
from?__future__?import?print_function

__version__?=?‘0.1.0‘
__author__?=?‘Abien?Fred?Agarap‘

import?argparse
from?model.cnn_softmax?import?CNN
from?model.cnn_svm?import?CNNSVM
from?tensorflow.examples.tutorials.mnist?import?input_data


def?parse_args（）:
????parser?=?argparse.ArgumentParser（description=‘CNN?&?CNN-SVM?for?Image?Classification‘）
????group?=?parser.add_argument_group（‘Arguments‘）
????group.add_argument（‘-m‘?‘--model‘?required=True?type=str
???????????????????????help=‘[1]?CNN-Softmax?[2]?CNN-SVM‘）
????group.add_argument（‘-d‘?‘--dataset‘?required=True?type=str
???????????????????????help=‘path?of?the?MNIST?dataset‘）
????group.add_argument（‘-p‘?‘--penalty_parameter‘?required=False?type=int
???????????????????????help=‘the?SVM?C?penalty?parameter‘）
????group.add_argument（‘-c‘?‘--checkpoint_path‘?required=True?type=str
???????????????????????help=‘path?where?to?save?the?trained?model‘）
????group.add_argument（‘-l‘?‘--log_path‘?required=True?type=str
???????????????????????help=‘path?where?to?save?the?TensorBoard?logs‘）
????arguments?=?parser.parse_args（）
????return?arguments


if?__name__?==?‘__main__‘:
????args?=?parse_args（）

????mnist?=?input_data.read_data_sets（args.dataset?one_hot=True）
????num_classes?=?mnist.train.labels.shape[1]
????sequence_length?=?mnist.train.images.shape[1]
????model_choice?=?args.model

????assert?model_choice?==?‘1‘?or?model_choice?==?‘2‘?“Invalid?choice:?Choose?between?1?and?2?only.“

????if?model_choice?==?‘1‘:
????????model?=?CNN（alpha=1e-3?batch_size=128?num_classes=num_classes?num_features=sequence_length）
????????model.train（checkpoint_path=args.checkpoint_path?epochs=10000?log_path=args.log_path
????????????????????train_data=mnist.train?test_data=mnist.test）
????elif?model_choice?==?‘2‘:
????????model?=?CNNSVM（alpha=1e-3?batch_size=128?num_classes=num_classes?num_features=sequence_length
???????????????????????penalty_parameter=args.penalty_parameter）
????????model.train（checkpoint_path=args.checkpoint_path?epochs=10000?log_path=args.log_path
????????????????????train_data=mnist.train?test_data=mnist.test）

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2017-12-30?11:44??cnn-svm-master\
?????文件???????11347??2017-12-30?11:44??cnn-svm-master\LICENSE
?????文件????????7218??2017-12-30?11:44??cnn-svm-master\README.md
?????目錄???????????0??2017-12-30?11:44??cnn-svm-master\figures\
?????文件???????19569??2017-12-30?11:44??cnn-svm-master\figures\accuracy-loss-fashion.png
?????文件???????15839??2017-12-30?11:44??cnn-svm-master\figures\accuracy-loss-mnist.png
?????目錄???????????0??2017-12-30?11:44??cnn-svm-master\logs\
?????目錄???????????0??2017-12-30?11:44??cnn-svm-master\logs\Sat?Dec??9?13:38:20?2017-training\
?????文件??????153111??2017-12-30?11:44??cnn-svm-master\logs\Sat?Dec??9?13:38:20?2017-training\events.out.tfevents.1512797900.darth-Inspiron7559
?????目錄???????????0??2017-12-30?11:44??cnn-svm-master\logs\Sat?Dec??9?13:43:41?2017-training\
?????文件??????172715??2017-12-30?11:44??cnn-svm-master\logs\Sat?Dec??9?13:43:41?2017-training\events.out.tfevents.1512798221.darth-Inspiron7559
?????文件????????2819??2017-12-30?11:44??cnn-svm-master\main.py
?????目錄???????????0??2017-12-30?11:44??cnn-svm-master\model\
?????文件????????8768??2017-12-30?11:44??cnn-svm-master\model\cnn_softmax.py
?????文件????????9215??2017-12-30?11:44??cnn-svm-master\model\cnn_svm.py
?????文件??????????40??2017-12-30?11:44??cnn-svm-master\requirements.txt
?????文件?????????504??2017-12-30?11:44??cnn-svm-master\setup.sh
?????目錄???????????0??2017-12-30?11:44??cnn-svm-master\trained-cnn-softmax\
?????文件????39295616??2017-12-30?11:44??cnn-svm-master\trained-cnn-softmax\CNN-Softmax-9900.data-00000-of-00001
?????文件?????????914??2017-12-30?11:44??cnn-svm-master\trained-cnn-softmax\CNN-Softmax-9900.index
?????文件???????77531??2017-12-30?11:44??cnn-svm-master\trained-cnn-softmax\CNN-Softmax-9900.meta
?????文件?????????183??2017-12-30?11:44??cnn-svm-master\trained-cnn-softmax\checkpoint
?????目錄???????????0??2017-12-30?11:44??cnn-svm-master\trained-cnn-svm\
?????文件????39295616??2017-12-30?11:44??cnn-svm-master\trained-cnn-svm\CNN-SVM-9900.data-00000-of-00001
?????文件?????????914??2017-12-30?11:44??cnn-svm-master\trained-cnn-svm\CNN-SVM-9900.index
?????文件???????87201??2017-12-30?11:44??cnn-svm-master\trained-cnn-svm\CNN-SVM-9900.meta
?????文件??????????81??2017-12-30?11:44??cnn-svm-master\trained-cnn-svm\checkpoint