| CARVIEW |
??4??@CNN?iConvolutional Neural Network?j?𗝉????悤?iTensorFlow?ҁj?FTensorFlow????
?摜?F???ł悭?g????f?B?[?v???[?j???O?̑?\?I??@?uCNN?v??????B?u??ݍ??݁v?u?v?[?????O?v?u?????????v?uCNN?̃l?b?g???[?N?\???v?u?\?t?g?}?b?N?X???v?Ƃ???????b?ƁA???ӓ_?????????悤?B
???̋L???͉??????ł??B????o?^?i?????j????ƑS?Ă????????????܂??B
?????ӁF?{?L???́A??IT?^Deep Insider?ҏW???i?f?W?^???A?h?o???e?[?W?Ёj???udeepinsider.jp?v?Ƃ????T?C?g????A???e?????ς??邱?ƂȂ??A???̂܂܁u??IT?v?ւƓ]?ڂ??????̂ł??B???̂??ߗp???p??̓??ꃋ?[???Ȃǂ́?IT?̂???Ƃ͈?v???܂???B???炩???߂??????????????B
?摜?F???Ƃ?
?@?R???s???[?^?[??ł͉摜?͒P?Ȃ鐔?l???ł???A????ȏ?ł?????ȉ??ł??Ȃ??B???????l?ԂɂƂ??ĉ摜?͖L???ȏ????????Ă???A?Ⴆ?Έȉ??̉摜?????āA?ǂ̂悤?ȉ摜?ł??邩???l???Ă݂Ăق????B
?}1?@bluebonnet ?@???炭?قƂ?ǂ̓ǎ҂́A?u?^?ɐ??Ԃ??ʂ??Ă??āA???̉Ԃ̖??O?́gBluebonnet?h?Ƃ??????O?ł???v?Ɠǂݎ?????̂ł͂Ȃ????낤???B???A?J?M???ʂŎ????????Ƃɂ́A???Ɏ????悤?Ȏ??ɑ????̏??????܂܂??B
- ?摜?̒??????ɑΏۂƂȂ镨?̂?????
- ???̕??̂͐??Ԃł???
- ?E?????ɕ????܂܂??
- ???̕?????́gBluebonnet?h?ł???
- ???̕?????͒??????̕??̂Ɠ???̂??̂?\???Ă???
?@?P?Ȃ鐔???ɂ????Ȃ??摜?f?[?^????A??L?̂悤?Ȑl?ԂɂƂ??ĈӖ??̂?????𒊏o????^?X?N?̂??Ƃ??摜?F???Ƃ????B
?@??L?ł????܂??܂ȃ^?X?N??????悤?ɁA?摜?F???͈?ʂɗe?Ղł͂Ȃ??B???????ŋ߂ł́A?[?w?w?K?𒆐S?Ƃ????@?B?w?K?̔??W?ɂ??A?\???ȃf?[?^?ʂ̏????ƓK?Ȗ???`???ł???A???x?悭?摜?F?????s????悤?ɂȂ??Ă??Ă???B
?y?R?????z?摜?`???ɂ???
?@?R???s???[?^?[??ň?????摜?̌`???ɂ́A
- ?x?N?^?[?摜?`??
- ???X?^?[?摜?`??
??2??ނ?????B
?@?x?N?^?[?摜?́A????Ȑ??Ƃ??????}?`?W???̏d?ˍ??킹???f?[?^?Ƃ??ĕێ??????`???ł???B????A???X?^?[?摜???s?N?Z???i??f?Ƃ??????j?ƌĂ??F?̐??l???i?q??ɕ??ׂ??f?[?^??ێ??????`???ł???i?}ex1?j?B???̂悢?ǎ҂͊i?q??̃f?[?^?ƕ??????e???\?????v???????ׂ邩??????Ȃ????A?܂??Ƀ??X?^?[?摜?̓e???\???ł???B
?}ex1?@?s?N?Z???i?}1?̎ʐ^?̍???32?~32?s?N?Z?????g?債?????́j ?E?????g?債???摜?B32?~32?̒P?F?̐????`?ŕ~???l?߂??Ă???A???̐????`1??1?s?N?Z???ipx?j?ɑΉ?????B
?@?{?e?ł͓??ɒf??̂Ȃ?????A?摜?̓??X?^?[?摜?`???̂??Ƃ??w???B?s?N?Z?????ێ?????f?[?^??RGB?i?ԁA?A?j?̎O???F???e8 bits?i256?K???j?̌v24 bits?̐??l?ŕێ???????̂Ƃ???i?}ex2?j?B?摜?T?C?Y?? W ?~ ?? ?Ƃ???ƁA?摜??\???e???\???̓T?C?Y?? W ?~ ?? ?~ 3 ?ŁAR?^G?^B?̊e?v?f?̃f?[?^?^??8 bits?ł???B
CNN?Ƃ?
?@?u?摜?̐[?w?w?K?v?ƌ?????CNN?Ƃ??????炢???W???[?Ȏ?@?ł???BCNN??Convolutional Neural Network?̓???????????????̂ŁA?j???[?????l?b?g???[?N?Ɂu??ݍ??݁v?Ƃ???????????????̂ł???B
CNN?ɂ?????摜?????̗v?f?Z?p
?@CNN?̘b?ɓ???O?ɁACNN?ŗ??p?????摜?????̗v?f?Z?p?ɂ??Đ???????B
??ݍ???
?@??ݍ????iconvolution?j?Ƃ́A?摜?????ł悭???p??????@?ŁA?J?[?l???i?܂????t?B???^?[?j?ƌĂ??i?q??̐??l?f?[?^?ƁA?J?[?l???Ɠ??T?C?Y?̕????摜?i?E?B???h?E?ƌĂԁj?̐??l?f?[?^?ɂ??āA?v?f???Ƃ̐ς̘a???v?Z???邱?ƂŁA1?̐??l?ɕϊ????鏈???̂??Ƃł???*1?B???̕ϊ????????A?E?B???h?E???????????炵?ď??????s?????ƂŁA???????i?q??̐??l?f?[?^?i???Ȃ킿?e???\???j?ɕϊ?????B
?@???t?Ő??????Ă???????Â炢?̂ŁA??̗???o???Đ??????悤?B????͐}2?̂悤??32?~32?s?N?Z???̉摜??p?ӂ????B?}1?̒????̉Ԃ??o???ăO???[?X?P?[???????????̂ł???B?O???[?X?P?[?????????R?^G?^B?̐??l?͓???ɂȂ?̂ŁA?u32?~32?~1?̃e???\???v?ƌ??Ȃ???B1?s?N?Z???́A8bits?̃f?[?^?Ƃ???0?`255?̒l???Ƃ?B
?}2?@32?~32?r?N?Z???̉摜 ?@?}2????̓I?ɐ??l?\?????????̂??ȉ??̐}3?ł???B???ׂċL?q????Ƒ傫??????̂ŁA?????10?~10?s?N?Z???????????o???Ă???B
?@?????ł͐}4?̂悤??5?~5?̃J?[?l?????l????B
?}4?@5?~5?̃T???v???J?[?l?? ?@?܂????̉摜?̍??ォ??J?[?l???Ɠ??T?C?Y?i5?~5?j?̃E?B???h?E?????o???A?v?f???m???|?????킹????A?????????ׂč??v????1?̐??l???v?Z????i?}5?j?B???̏ꍇ??28?ƂȂ?B
?@???ɁA???o????E?B???h?E???E??3?s?N?Z?????????炵?ĐV????1?̐??l???v?Z????i?}6?j?B2?ڂ̐??l??-165?ƂȂ?B
?@?????悤?ɉE??3?s?N?Z?????炵?Čv?Z???Ă????ƁA1?s??10?̐??l?f?[?^???ł???B?E?[?ɓ??B??????܂???ԍ??[?ɖ߂?A????3?s?N?Z?????炵?ē??l?ɉE?ɂ??炵?Ȃ???v?Z???Ă????B????ƍŏI?I?ɂ?10?~10?̐??l???v?Z?????B???ۂɌv?Z?????̂??}7???B
?@???̂悤?ɁA??ݍ??݂??s?????ƂŁA32?~32?̃s?N?Z????10?~10?̃s?N?Z???ɏk?????ꂽ?B???̗?ł?5?~5?̃J?[?l????3?s?N?Z???????炵?Ȃ????ݍ??݂??s???Ă????????A?J?[?l???̒??g??ς?????A?J?[?l???̃T?C?Y?₸?炷?s?N?Z??????ς????肷?邱?ƂŁA?قȂ錋?ʂ邱?Ƃ??ł???B?Ȃ??A???̃E?B???h?E?????炷????̂??Ƃ??X?g???C?h?ƌĂԁB
?@??ݍ??݂̌??ʂ̓e???\???ł???A?e???\???͉摜?̂悤?Ȃ??̂??B??ݍ??݂̌??ʂœ???ꂽ1?s?N?Z???́A?????̃s?N?Z???̐??l????g?ݓ???Čv?Z???????ʂł??邩??A?P??̐??l???ł??邪??ݍ??݂ɗ??p?????E?B???h?E?????????I?Ȑ??l?????????ƂɂȂ?B??ݍ??݂ɂ???ē???ꂽ?e???\?????????}?b?v?iFeature map?j?ƌĂԁB?????}?b?v?͖??O?̒ʂ?A?J?[?l???ɂ?蒊?o???ꂽ?????I?ȗʂł???A?J?[?l???ɂ???Ă??܂??܂ȏ??????o?????Ƃ??ł??邪?A?{?e?ł͐[???肵?Ȃ??B
?@??ݍ??݂͂悭?g???鏈???Ȃ̂ŁATensorFlow?ɂ͐?p?̉??Z?itf.nn.conv2d???\?b?h?j???p?ӂ???Ă???B?}2?̉摜??ǂݍ??݁A?}4?̃J?[?l???𗘗p???ď?ݍ??݂??s???āA?}7?̌??ʂ?܂ł̃R?[?h?͎??̒ʂ?ł???B?Ȃ??A?}2?͐????̂??߂Ɋg?債?Ă??邪?A???ۂɃT???v???R?[?h?????s????ꍇ?́i03-02-original.png?j???_?E?????[?h???ė??p???邱?ƁB
import tensorflow as tf
sess = tf.InteractiveSession()
# ?摜???O???[?X?P?[???œǂݍ??݁A?????????_???f?[?^?ɕϊ?????
png = tf.read_file('03-02-original.png')
image = tf.image.decode_png(png, channels=1, dtype=tf.uint8)
image_float = tf.to_float(image)
# tf.nn.conv2d???\?b?h??K?p???邽?߂?4?K?̃e???\???ɕϊ?
image_reshape = tf.reshape(image_float, [-1, 32, 32, 1])
# ?J?[?l???̍쐬
kernel = tf.constant(
[
[ 0, -1, -1, -1, 0],
[-1, 0, 3, 0, -1],
[-1, 3, 0, 3, -1],
[-1, 0, 3, 0, -1],
[ 0, -1, -1, -1, 0]
],
dtype=tf.float32)
# tf.nn.conv2d???\?b?h??K?p???邽?߂?4?K?̃e???\???ɕϊ?
kernel_reshape = tf.reshape(kernel, [5, 5, 1, 1])
# ?X?g???C?h??
# 3?s?N?Z??????????
strides = [1, 3, 3, 1]
# ??ݍ???
convolution_result = tf.nn.conv2d(
image_reshape,
kernel_reshape,
strides=strides,
padding='VALID'
)
# ???ʂ????₷???悤??2?K?̃e???\???i?s??j?ɕϊ?
tf.reshape(convolution_result, [10, 10]).eval()
?@??L?̂悤??Python?R?[?h??Jupyter Notebook??Ŏ??s????悢?i?????Ȃ݂ɁAJupyter Notebook?̃Z???̎??s????In [*]?̂悤?ɕ\??????A???s?????????In [1]?̂悤?ɕ\???????̂ŁA???s?????ǂ????͂????Ō???????Ƃ悢?B????̎??s?ɕK?v?Ȃ̂ŁA???Њo???Ă????Ăق????B?j?B???X?g1?????s????ƁA?}7?Ɠ??????ʂ邱?Ƃ??ł???i???X?g2?j?B
array([
[ 28., -165., 84., -76., -77., 193., 48., 113., -75., -71.],
[ 8., 60., -2., 30., -89., -17., 119., -75., -37., 27.],
[ 72., -221., -123., -147., -28., 125., -104., 2., 20., -59.],
[ 133., 109., 206., 173., 97., 92., 1., -56., -22., 54.],
[-286., 47., -45., 103., -51., -99., 13., 110., -22., 78.],
[ 112., 49., 64., -91., -29., -180., 87., -7., 210., 133.],
[ -49., -88., 53., -77., -42., 110., -103., 116., -280., 88.],
[ -72., 3., 79., 176., -194., 139., -319., 57., 175., -177.],
[ 161., -136., -51., 107., 1., -10., 560., -105., 93., -99.],
[ -64., 44., 85., 52., -59., 71., -101., -1., -98., 81.]],
dtype=float32)
?@???X?g1?ɂ??Ď?̕⑫???????Ă????B
?@???̕??ɂ???tf.nn.conv2d???\?b?h?́A???̖??O????s??f?[?^?i2?K?̃e???\???j???????ɂƂ?Ǝv??????????Ȃ????A??ݍ??܂??Ώہiimage_reshape?j?ƃJ?[?l???ikernel_reshape?j?̂??????4?K?̃e???\?????????ɂƂ?B
?@??ݍ??܂??Ώۂ̃e???\????4?K?͂??ꂼ??A
- ?o?b?`?T?C?Y*2
- ?摜????
- ?摜?c??
- ?`?????l??*3
??\???B?܂??A?J?[?l???̃e???\????4?K?́A
- ????
- ?c??
- ???̓`?????l??*3
- ?o?̓`?????l??*3
??\???B
*2?@?o?b?`?T?C?Y?ɂ??Ă͌?Ő???????B
*3?@?`?????l???Ƃ́A?s?N?Z???ɂ?????f?[?^?T?C?Y?̂??Ƃ?\???BRGB?f?[?^?ł???ΐF??\???`?????l???i?J???[?`?????l???j??3???邱?ƂɂȂ?B?O???[?X?P?[???Ȃ?`?????l??????1?ɂȂ?B?F?ȊO?̃f?[?^??\???P?[?X??????B
?@??̕??ɂ???tf.read_file???\?b?h?́A???̖??̒ʂ?t?@?C???V?X?e??????t?@?C???̓??e?i?o?C?g??j???擾????B?ʏ?̓o?C?g??̂܂܈??????Ƃ͂Ȃ??ACSV??摜?Ȃǂ??e???\???ɕϊ??i?f?R?[?h?j???鏈?????s???B
?@?????ł?PNG?摜??ǂݍ???ł???A??????e???\???ɕϊ????邽?߂?tf.image.decode_png???\?b?h?𗘗p???Ă???B?ǂݍ???PNG?摜?̓O???[?X?P?[???????Ă???̂ŁA?ǂ̃s?N?Z???ɂ????Ă?RGB?̊e?`?????l???̒l?͓???ł??邽?߁A?`?????l?????ichannels?????j??1?Ƃ??Ă???B
?@?J?[?l???̃T?C?Y?ƃX?g???C?h???̐ݒ?ɂ???ẮA?摜?S?̂????܂??ԗ??ł??Ȃ??ꍇ??????B???32?~32?̉摜?A5?~5?̃J?[?l???ɂ????āA?X?g???C?h????2?Ƃ????ꍇ???l???Ă݂Ăق????B
- ?ŏ??̃E?B???h?E?̍???̍??W (1,1) ????X?g???C?h??2?ʼnE??2?s?N?Z?????炷?ƁA?E?B???h?E?̍???̍??W?? (3,1) ?ƂȂ?B
- ???l?ɂ??炵?Ă????ƁA?E?B???h?E?̍???̍??W (27,1) ?̂Ƃ??͉E??̍??W?? (31,1) ?ƂȂ?A?E?[??1?s?N?Z?????]???Ă??܂??B
- ?????2?s?N?Z?????炷?ƁA???x?̓E?B???h?E?̍???̍??W?? (29,1) ?ʼnE??̍??W?? (33,1) ?ƂȂ?A?摜???͂ݏo?Ă??܂??B
?@???̂悤?ȏꍇ?A?J?[?l???̃T?C?Y??X?g???C?h???????邩?A?p?f?B???O?ƌĂ??摜?̎???ɓK???Ȑ??l?̗]???s?N?Z????lj?????ꍇ??????B?p?f?B???O?Ȃ??̏?ݍ??݂ɔ?ׂăp?f?B???O????̏?ݍ??݂́A?摜?̒[?̃s?N?Z???????p???????????Ȃ?A?摜?̒[?̓??????悭?????邱?Ƃ??ł???B
?@?p?f?B???O?Ŗ??߂鐔?l?Ɏw??͂Ȃ????A?[???p?f?B???O?Ƃ????āA?摜?̎???ɐ??l0?߂鏈?????s???ꍇ???????BTensorFlow?ł́Atf.nn.conv2d???\?b?h??padding??????'SAME'???w?肷?邱?ƂŁi???X?g3?j*4?A?[???p?f?B???O???s?????Ƃ??ł???B
*4?@???Ȃ݂ɁA?O?f?̃??X?g1?̂悤?Ƀp?f?B???O?????Ȃ??ꍇ?́Apadding??????'VALID'???w?肷??B
# ?[???p?f?B???O????̏?ݍ???
convolution_result_with_padding = tf.nn.conv2d(
image_reshape,
kernel_reshape,
strides=strides,
padding='SAME'
)
# ?[???p?f?B???O?ʼn摜?T?C?Y???ς???Ă??邽?ߌ??ʂ̃T?C?Y???قȂ?
tf.reshape(convolution_result_with_padding, [11, 11]).eval()
?@???X?g3?????s????ƁA?}7?????摜?̒[?̓????𑨂??????ʂ邱?Ƃ??ł???i???X?g4?j?B
array([
[ 76., 238., 221., 321., 194., 326., 346., 115., 166., 99., 386.],
[ 196., -16., 53., 27., 32., 62., 53., -168., -17., 174., 65.],
[ 254., -57., -115., -9., 59., 6., 88., 101., -45., 25., 140.],
[ 301., -68., -122., 70., 161., -190., 4., 74., -174., -109., 233.],
[ 94., 89., 6., 23., 91., -119., -131., -57., 328., 41., 119.],
[ 117., 76., 38., -165., -163., 141., 90., 44., 29., 53., 30.],
[ 236., -44., 79., 53., 1., 49., -46., 145., -101., -76., 59.],
[ 408., -203., 8., 85., -46., 43., -26., -259., 109., -97., 97.],
[ 136., 143., -26., -101., 35., -5., 359., 339., -167., -127., 89.],
[ 310., -71., -69., 110., -184., -75., -201., 9., -74., 4., 282.],
[ 327., 259., 149., 80., 167., 212., 161., -24., 381., 111., 223.]],
dtype=float32)
?v?[?????O
?@??ݍ??݂Ɏ????????ŁA?v?[?????O?ipooling?j?Ƃ?????????????B?v?[?????O?Ƃ́A?E?B???h?E?̐??l?f?[?^????1?̐??l?????o?????????B?Ⴆ?E?B???h?E???̍ő?l??I???????ő?l?v?[?????O??A?E?B???h?E???̕??ϒl??I?????????ϒl?v?[?????O?Ȃǂ?????B?ł??悭?g????͍̂ő?l?v?[?????O???B
?@?v?[?????O?ɂ??Ă?TensorFlow?̉??Z?𗘗p????悢?B?Ⴆ?ő?l?v?[?????O???s???ɂ́Atf.nn.max_pool???\?b?h??p????B???̃??X?g5?́A???X?g1?ō쐬????convolution_result?ɑ??ăE?B???h?E?T?C?Y2?~2?ƃX?g???C?h??2?ōő?l?v?[?????O???s???R?[?h???B???X?g6?͂??̌??ʁB
# ?ő?l?v?[?????O
pooling_result = tf.nn.max_pool(
convolution_result,
ksize=[1, 2, 2, 1],
strides=[1, 2, 2, 1],
padding='VALID'
)
# ?o?͗p?̃T?C?Y????
tf.reshape(pooling_result, [5, 5]).eval()
array([[ 60., 84., 193., 119., 27.],
[133., 206., 125., 2., 54.],
[112., 103., -29., 110., 210.],
[ 3., 176., 139., 116., 175.],
[161., 107., 71., 560., 93.]], dtype=float32)
?t??ݍ??݁A?A???v?[?????O
?@??ݍ??݂?v?[?????O?Ƃ?????????ŁA?摜?̏k?????s????B
?@?t?ɁA??ݍ??݂̋t????i?t??ݍ????F deconvolution?j??v?[?????O?̋t?̏????i?A???v?[?????O?F unpooling?j???s???A?e???\?????g?傷?鑀????s???ꍇ??????B?e???\?????g?傷?邱?Ƃɂ??A?摜??????????ʂ̍Ē??o???s?????Ƃ????҂ł???B?????̋Z?p?͖{?e?ł͗??p???Ȃ??̂ŁA????ȏ?̐??????????Ȃ??B??????????Ίe???Œ??ׂĂق????B
????????
?@??1??Ńj???[?????l?b?g???[?N?ɂ????銈???????̘b???????B??ݍ??݂?v?[?????O?????ɂ????Ă??A???ʂ̓????}?b?v?ɑ??Ċ?????????K?p???邱?Ƃ?????B
CNN?̍\??
?@?{?߂ł́ACNN?̑S?̑??ƁA??????\??????d?v?Ȋ??ɂ??Ă̐??????s???B
CNN?̑S?̑?
?@CNN?́A??ݍ??݂?v?[?????O?ɂ???ē???ꂽ?????}?b?v?̊e?s?N?Z???f?[?^???A?j???[?????l?b?g???[?N?̓??͒l?Ƃ??ė??p????B???̐}??CNN?̃l?b?g???[?N?\?????????B
?@CNN?͑傫????????2?̃p?[?g?ɕ????邱?Ƃ??ł???B
- 1?ڂ́A?摜??ǂݍ??݁A??ݍ??݂?v?[?????O?ɂ???ē????}?b?v???쐬????????ʒ??o?p?[?g
- 2?ڂ́A?S?????w???J??Ԃ????ƂōŏI?I?ȏo?͂鎯?ʃp?[?g?ł???
?@?ŏI?I?ȏo?͖͂ړI?ɂ???Đݒ肷??K?v?????邪?A?Ⴆ?ΐ}???̕??̂????ł??邩?ʂ??????ꍇ?́A???ʑΏۂ̃N???X?̊m???ƂȂ?悤?ɂ???B?}8?̗?ł????A?ŏI?I??3?v?f?̏o?͂邪?A???ꂪ???̂??́u?????ł???m???v?u?A???ł???m???v?u????ȊO?ł???m???v?ƂȂ?悤?ȏo?͂??s???B
?\?t?g?}?b?N?X??
?@?j???[?????l?b?g???[?N?̏o?͔͂C?ӂ̐??l????蓾??̂ŁA??????m???i0.0?`1.0?̒l?j?ɕϊ????Ȃ???Ȃ?Ȃ??B???̍ۂɕ֗??Ȃ̂??\?t?g?}?b?N?X???iSoftmax function?j???B?\?t?g?}?b?N?X???͈ȉ??̂悤?ɒ?`?????B
?????ŁA pi ?̓N???X i ?ƂȂ?m???A yi ?̓j???[?????l?b?g???[?N?̏o?́A C ?͔??ʃN???X?̑????????ꂼ??\???B exp(x)??ex ?͎w?????ł???B pi ???m???ɂȂ?i???Ȃ킿?A???ׂĂ̔??ʃN???X i ?ɂ??Ă? pi ?? 0 ?? pi ?? 1 ?????A?????v??1?ƂȂ?j???Ƃ͒?`???疾?炩???낤?B
?@?\?t?g?}?b?N?X?????悭???p???????ł??邩??ATensorFlow?ɂ?tf.nn.softmax???\?b?h???p?ӂ???Ă???B???X?g7??8???A???̃R?[?h??Ǝ??s???ʂł???B
# ???z?̃j???[?????l?b?g???[?N?̏o??
y = tf.constant([1.1, 3.2, -0.9])
# ?\?t?g?}?b?N?X??
p = tf.nn.softmax(y)
p.eval()
array([0.10750949, 0.87794065, 0.01454983], dtype=float32)
?@???X?g8?̊e?v?f?̐??l?????v?????1?ƂȂ邱?Ƃɒ??ڂ??Ăق????B???Ȃ݂ɂ????A???̍??v?̌v?Z?܂?TensorFlow?ɂ??Ăق?????Atf.reduce_sum???\?b?h??p????tf.reduce_sum(p).eval()?Ƃ???悢?B
CNN?̒??ӓ_
?@CNN?͂????܂ŏ?ݍ??ݏ????𗘗p?????j???[?????l?b?g???[?N?ł???A?ǂ̂??炢??ݍ??ݏ??????s???̂??A?ǂ̂??炢?j???[?????l?b?g???[?N??[??????̂??A?Ƃ????????Ƃɂ??Ă͒?`????Ă??Ȃ??B???f???̐??x???悭?Ȃ?悤?ɁA?l?b?g???[?N?v?҂??l?????茟?????肷??K?v??????B?ǂ̂悤?ɐv????ׂ????ɂ??Ă̎w?j??{?e?Ŏ??????Ƃ͂ł??Ȃ????A???̕??@?ɂ??Ă͎??????????B
?@?ȏ?ACNN?̊?b?T?O??????????B????͂??悢??CNN???g???Đ[?w?w?K???????Ă݂?B
?yTL;DR?zCNN?iConvolutional Neural Network?j?̊?b
- ?摜?F???F ?P?Ȃ鐔???ɂ????Ȃ??摜?f?[?^????A?l?ԂɂƂ??ĈӖ??̂?????𒊏o????^?X?N
- CNN?F ?j???[?????l?b?g???[?N?Ɂu??ݍ??݁v?Ƃ??????????????@
- ?J?[?l???^?t?B???^?[?F 5?~5?̂悤?Ȋi?q??̐??l?f?[?^
- ?E?B???h?E?F ?J?[?l???Ɠ??T?C?Y?̕????摜
- ??ݍ??݁F ?E?B???h?E?̐??l?f?[?^?ƃJ?[?l???̐ς̘a?ɂ??1?̐??l???v?Z???鏈?????A?E?B???h?E???????????炵?Ȃ???S?Ă̗v?f?ɑ??čs???āA?ŏI?I?Ƀe???\???ɕϊ????鏈???̂???
- ?????}?b?v?F ??ݍ??݂ɂ???ē???ꂽ?e???\??
- ?p?f?B???O?F ?摜?̎???ɓK???Ȑ??l?̗]???s?N?Z????lj????邱?ƁB????ɂ??A?摜?̒[?̓????𑨂???
- ?v?[?????O?F ?E?B???h?E?̐??l?f?[?^????1?̐??l?????o???????B?摜?̏k?????s????
- CNN??2?̃p?[?g?F ??ݍ??݂?v?[?????O?ɂ??????}?b?v???쐬????????ʒ??o?p?[?g?ƁA?S?????w???J??Ԃ????ƂōŏI?I?ȏo?͂鎯?ʃp?[?g
- ?\?t?g?}?b?N?X???F ?C?ӂ̐??l?ł???o?͂??u?m???l?v?ɕϊ???????B?悭???p?????
?uTensorFlow?????v
Copyright© Digital Advantage Corp. All Rights Reserved.
?A?C?e?B???f?B?A????̂??m?点
??IT eBook
???ڂ̃e?[?}
?ҏW??????̂??m?点
RSS?ɂ???
?A?C?e?B???f?B?AID?ɂ???
???[???}?K?W???o?^
??IT?̃??[???}?K?W???́A ???????A???ׂĖ????ł??B???Ѓ??[???}?K?W???????w?ǂ????????B
ITmedia?̓A?C?e?B???f?B?A??????Ђ̓o?^???W?ł??B
???f?B?A?ꗗ | ????SNS | ?L???ē? | ???₢???킹 | ?v???C?o?V?[?|???V?[ | RSS | ?^?c??? | ?̗p??? | ??????