实例介绍
【实例简介】
【官方文档】TensorFlow Python API documentation.pdf
tf. all variables( 112 tf trainable variables().......... 112 tf. moving average variables()…… 113 tf. initialize all variables()..... 113 tf initialize variables(var list, name=init)......... .113 tf assert variables initialized(var list-None )......... 114 Saving and Restoring Variables 115 class tf train. Saver 115 t. train. latest checkpoint(checkpoint dir, latest filename=None)................... ∴123 tf train get checkpoint state(checkpoint dirr latest filename=None).. 124 tf train update checkpoint state(save dir, model checkpoint path, all model checkpoint paths=None, latest filename-None) 25 Sharing variables…… 125 tf. get variable(name, shape=None, dtype=tf float 32, initializer=None trainable=True, collections=None).... 125 tf. get variable scope( tf, make template(name,func,* kwargs)……,…,…,…………,127 tf variable op scope(values, name, default name initializer=None)........... 130 tf variable scope(name or scope, reuse=Ncne, initia1izer=None)…… 131 tf. constant. initializer(val1e=0.0, dtype=tf.f1oat32)………133 tf random normal initializer(mean==0.0, stddev=1.0, seed=None, dtype=tf,f1oat32)…… 133 tf truncated normal initializer(mean=0.o, stddev=1. 0 seed-None, dtype=tf,f1oat32)………,…,…,…,…,…,…,…,…,……134 tf random uni form initializer(minval=0.0, maxval=l0, seed=None, dtype=tf float32) .135 tf uniform unit scaling initializer(factor=1.0, seed=None r dtype=tf float32) 136 tf zeros initializer(shape, dt ype=tf float32)... .137 Sparse Variable Updates ·自看音 137 tf scatter update(ref, indices, updates, use locking=None name=None 138 tf scatter add(ref, indices, updates, use locking=None, name=None)∴ :::::::·:···a.::::::::· 140 tf scatter sub(ref, indices, updates, use locking=None, name=None) 142 tf sparse mask(a, mask indices, name=None) 144 class tf. indexedslices ∴145 Tensor transformations ::::a.a.a.:::: 148 Casting 14 tf string to number(string tensor, out type=None name=None)……, 149 tf to double(x, name=To Double) ..150 tf. to float(x,name='ToF1oat")………150 t王.tobf1oat15(x,name=ToEF⊥oat16) 151 tf. to int32(x,name-' TOInt321)……152 t王, to int64(x,name=! ToInt64")…,,,…,… 152 tf. cast(x, dtype, name=None )................... 153 Shapes and Shaping 154 tf. shape( input,name=NOne)…… .154 Lf∴s⊥ze(⊥nput,name=None)…………,,… ::::·::a.aa.::::::::::着 155 tf.rank( Input,name=None).…… ∴155 tf. reshape( tensor, shape,name=None)…………,……,……156 t. squeeze(inputr squeeze dims-None, name=None) .158 tf, expand dims( input,dim,name-None)………… 159 Slicing and Joining 160 tf.sice( input; begin,size,name-None)…………,……,…,160 tf split(split dim, num split, value, ame=split) 162 tf tile(input, multiples, name=None) 163 tf pad(input, paddings, name=None) tf concat(concat. dim, values, name= concat ..165 tf.pack(va1ues,name='pack!)…..,,…,, 166 tf unpack(value, num=None, name=unpack) ∴167 tf reverse sequence(input, seg lengths, sea dim, batch dim=None,name=None)…… 168 tf reverse(tensor, dims, name=None).......... 170 tf transpose(a, perm=None, name= transpose) 171 t.f. space to depth(input, block size, name=None).. .173 tf depth to space(input, block size, name=None) 175 tf gather (params, indices, validate indices-None, name=None)∴ ::.::::::::a::.a:::::::::::aaa_a::::::a …177 tf dynamic partition(data, partitions, num partitions, name=None 178 tf. dynamic stitch( indices,data,name-None)…………181 tf boclean mask(tensor, mask, name=boolean mask) 182 other functions and classes 184 Lf. shape n( input,name=None)………….……..….…184 tf. unique with counts(x, name=None) 着, .184 Math 185 Arithmetic Operators ·· 188 tf. add(x, y, name=Ncne) 188 t. sub(x, y, name=None) 189 tf.mu1(x,y,name=Ncne)………, 着音。音音非·音音自自‖着非··意 190 t王.div(x,y,name=Ncne)… 190 tf. truediv(x, y, name-None)............. 191 tf. flcordiv(x,y,name=None)…… 192 tf mod(x, y, name=None).. 193 tf. cross(a b, name=None) 193 Basic math Functions 94 tf. add n(inputs, name=None) 194 tf. abs(x, name=None) 195 tf.neg(x,name=lone)……… 1:;音非 196 t.sign(x,name=None)…… 196 tf.inv(x;name=None)....,.,….,…,…,…………197 tf. square(x,nane=None)……,…,…,,… t工, round(,name=None),…, 4198 t.sqrt(x,name=None)…… .199 tf. rsqrt(x, name=None 199 t. pow(x, y, name=None) 200 tf.exp(x,name-None)…….,…,…,…,…,…,…,…,…,…,…,…,…,…….201 t王.1og(x,name=None 201 tf ceil(x, name-None) 202 tf floor(x, name=-None) …202 tf. maximum(x, y, name=None 203 七f mum(x, y, name=None) 203 tf.c○S(x,name=None)…… 204 tf. sin(x, name=None) 204 t.1 gamma(x,name=Ncne)………… 205 tferf(x, nane=None).. 206 t上.erc( X name=None) 206 Matrix math functions ·a..a::::::::::aa.·Baa:a::: 207 tfdiag(diagonal name=None) 207 tf. transpose(a,perm-None,name-' transpose')……,……,,…,208 t. matmul(a, b, transpose a=False, transpose b=False, a Is sparse= False, h is sparse= False;name=Ncne)……………….209 tf batch matmul(x, y, ad x-None, ad]y-None, name-None). 210 tf matrix determinant (input, name=None) 212 tf. batch matrix determinant( input;name-None)…………212 tf matrix inverse(input, name=None) 213 tf. batch matrix inverse( input,name=None)…………………214 tf cholesky(input, name=None) tf batch cholesky(input, name=None) 215 tf, self adioint eig( input,name=None)…………………………216 tf batch self adjoint eig(input, name=None) 217 tf, matriX So1ve( matrix;rhs,name=None)…… 217 tf batch matrix solve(matrix, rhs, name-None).. 218 tf matrix triangular solve(matrix, rhs, lower=None, name-None)………219 t. batch matrix triangular solve(matrix, rhs, lower=None name-None ).. .220 tf matrix solve ls(matrix, rhs, 12 regularizer=oO fast=True, name=None).................. 21 tf batch matrix solve ls(matrix, rhs, 12 regularizer=0.0, fast=True, name=None 223 Complex Number Functions 225 t f complex(real, imag, name=None) .225 tf. complex abs(x,name=None)…………,…,…………,…,…………226 t土 j(in name=Ncne 226 tf imag(i lame=None) 227 tf. real (in, name=Ncne ∴228 t.fft2d(in,name-None)……,29 七王.ift2d( In name=None) 229 Reduction.wwwwwwwwwwwwwwwww...230 t. reduce sum(input tensor, reduction indices=None, keep dims= False,name=None)……… 230 tf reduce prod(input tensor, reduction indices=, keep dims= False,nlae=None)……,…,…,…,…,,, 231 tf reduce min(input tensor, reduction indices=none, keep dims=False, name=None) 232 t. reduce max (input tensor, reduction indices=None, keep dims= False;nae=None)…… .233 tf reduce mean(input tensor, reduction indices=None r keep dims= False;name=None)…………,… ,234 tf reduce all(input tensor, reduction indices=None, keep dims= False,name=None)………… 235 tf reduce any (input tensor, reduction indices=None, keep dims=False, name=None) 236 tf accumulate n(inputs, shape=None, tensor at ype=None, name-None 237 Segmentation 238 tf. segment sum( data, segment ids,name=None)……………,239 tf segment prod(data, segment ids, name=None) 240 tf. segment min( datar segment ids, naine=None)……… 242 t. segment max(data, segment ids, name=None 243 tf. segment mean(data, segment ids,name=None)………………,245 tf unsorted segment sum(data, segment ids, num segments, name=None)... .246 tf sparse segment sum(datar indices, segment ids, name=None)… 248 tf sparse segment mean(data, indices, segment ids, name-None) :::::::::· :..:a:::: 249 t.f. sparse segment. sart. n(data, indices, segment. ids, name=None 250 Sequence Comparison and Indexing 251 tf argmin (input, dimension, name=None)......... 251 tf. argmax( input, dimension;name-None)……,,…,…,…… 252 tf. listdiff(x, y, name=None) 253 tf. where( input,name-None),,.,.,,,…,…,… 254 tf. unique(x, name-Ncne) 255 tf edit distance (hypothesis, truth, normalize-True, name=edit distance)........ 256 tf invert permutation(x, name=None) .258 Other functions and classes 259 tf scalar mul(scalar, x) 259 tf sparse segment sart n grad(grad, indices, segment ids, output dimo, name-None) 259 Control flow 260 Control Flow Operations. .............................................................................261 tf. identity( input,name=None)………… 261 tf tuple(tensors, name=None, control inputs=None) 262 Lf. grcup(* inputs,** kwargs)……… 263 tf.noop(name=None)…………….…. 264 f. count up to(ref,1init, nane= None)……………,…,……,…264 tt cond (pred, fnl, fn2, name=None) .265 Logical Operators… 266 tf logical and(x, y, name=None) 266 t.1 ogical not( X name=None)…… .267 tf logical or(x, y, name=None) 267 t.1 giCa1xor(x,y;name= LogIca⊥xor!)… .268 Comparison Operators 非着着自非 268 tf. equal(x, y, name=None)........... 268 tf. not equa(x,y,name-None)………,…, 269 tf. less(x, y, name-None) 269 tf.1 ess equa1(x,y,name=None)……,…,…,…,…,…,… 270 tf. greater(x,y;nare=None)……… 271 tf. greater equal(x, y, name=None) 271 tf. select (condition, tr e, name=None) 272 t. where( input;name=None)…… 273 Debugging Operations………,… 274 tf. is finite(x, name=None).......... .275 tf. is inf(x,name=Ncne)……,,….,,…,…,…,,………,275 tf is nan(x, name=Ncne) ∴276 tf. verify tensor a11 finite(t,msg,name-None)……………,276 tf check numerics(tensor, message, name=None) 277 tf. add check numerics ops()……… 277 tf Assert(condition, data, summarize=None, name=None)...278 tf Print(input data, message-None, first n=None, SummariZe-None,name-None),………,… 278 age 279 Encoding and decoding 281 t. image decode jpeg(contents, channels=None, ratio=None, fancy upscaling=None, try recover truncated=None, acceptable fraction=None, name=None) 282 tf image encode jpeg(image, format=None, quality=None, progressive=None, optimize size=Ncne, chroma downsampling=None, density unit=None, x density=None, y density=None, xmp metadata=None, name-None)∴……283 t. image decode png(contents, channels=Ncne, dtype=None r name=None)............ .285 tf image encode png(image, compression=None, name=None).286 Resizing 287 tf image. resize images(images, new height, new width, method=o, align corners=False) 287 tf image. resize area(images, size, align corners=None, name=None).. .289 tf image. resize bicubic(images, size, align corners-Noner name=None 290 tf image. resize bilinear(images, size, align corners=None name=None)… 291 tf image. resize nearest nei ghbor(images, size, align corners=None, name=None) 291 pping 292 tf image. resize image with crop or pad(image, target height, target width) 292 tf image pad to bounding box(image, offset height offset width, target height, target width) tf image. crop to bounding box(image, offset height, offset width, target height, target width)……,…,…… 294 t.f. image extract glimpse(input, size, offsets, centered-None, normalized-None, uniform noise-None name=None 296 Flipping and transposing…… ∴297 tf. Ima ge.f1 ip up down( image)……………… ∴297 tf. image. randoM f1 ip up down( TIllage,seed=None)……………,298 t. image flip left right (image) 299 tf. image random flip left right(image, seed=None) 299 tt image. transpose image (image) 300 Converting Between tf image rgb to grayscale(images) ..302 tf image grayscale to rgb(images) 302 【实例截图】
【核心代码】
【官方文档】TensorFlow Python API documentation.pdf
tf. all variables( 112 tf trainable variables().......... 112 tf. moving average variables()…… 113 tf. initialize all variables()..... 113 tf initialize variables(var list, name=init)......... .113 tf assert variables initialized(var list-None )......... 114 Saving and Restoring Variables 115 class tf train. Saver 115 t. train. latest checkpoint(checkpoint dir, latest filename=None)................... ∴123 tf train get checkpoint state(checkpoint dirr latest filename=None).. 124 tf train update checkpoint state(save dir, model checkpoint path, all model checkpoint paths=None, latest filename-None) 25 Sharing variables…… 125 tf. get variable(name, shape=None, dtype=tf float 32, initializer=None trainable=True, collections=None).... 125 tf. get variable scope( tf, make template(name,func,* kwargs)……,…,…,…………,127 tf variable op scope(values, name, default name initializer=None)........... 130 tf variable scope(name or scope, reuse=Ncne, initia1izer=None)…… 131 tf. constant. initializer(val1e=0.0, dtype=tf.f1oat32)………133 tf random normal initializer(mean==0.0, stddev=1.0, seed=None, dtype=tf,f1oat32)…… 133 tf truncated normal initializer(mean=0.o, stddev=1. 0 seed-None, dtype=tf,f1oat32)………,…,…,…,…,…,…,…,…,……134 tf random uni form initializer(minval=0.0, maxval=l0, seed=None, dtype=tf float32) .135 tf uniform unit scaling initializer(factor=1.0, seed=None r dtype=tf float32) 136 tf zeros initializer(shape, dt ype=tf float32)... .137 Sparse Variable Updates ·自看音 137 tf scatter update(ref, indices, updates, use locking=None name=None 138 tf scatter add(ref, indices, updates, use locking=None, name=None)∴ :::::::·:···a.::::::::· 140 tf scatter sub(ref, indices, updates, use locking=None, name=None) 142 tf sparse mask(a, mask indices, name=None) 144 class tf. indexedslices ∴145 Tensor transformations ::::a.a.a.:::: 148 Casting 14 tf string to number(string tensor, out type=None name=None)……, 149 tf to double(x, name=To Double) ..150 tf. to float(x,name='ToF1oat")………150 t王.tobf1oat15(x,name=ToEF⊥oat16) 151 tf. to int32(x,name-' TOInt321)……152 t王, to int64(x,name=! ToInt64")…,,,…,… 152 tf. cast(x, dtype, name=None )................... 153 Shapes and Shaping 154 tf. shape( input,name=NOne)…… .154 Lf∴s⊥ze(⊥nput,name=None)…………,,… ::::·::a.aa.::::::::::着 155 tf.rank( Input,name=None).…… ∴155 tf. reshape( tensor, shape,name=None)…………,……,……156 t. squeeze(inputr squeeze dims-None, name=None) .158 tf, expand dims( input,dim,name-None)………… 159 Slicing and Joining 160 tf.sice( input; begin,size,name-None)…………,……,…,160 tf split(split dim, num split, value, ame=split) 162 tf tile(input, multiples, name=None) 163 tf pad(input, paddings, name=None) tf concat(concat. dim, values, name= concat ..165 tf.pack(va1ues,name='pack!)…..,,…,, 166 tf unpack(value, num=None, name=unpack) ∴167 tf reverse sequence(input, seg lengths, sea dim, batch dim=None,name=None)…… 168 tf reverse(tensor, dims, name=None).......... 170 tf transpose(a, perm=None, name= transpose) 171 t.f. space to depth(input, block size, name=None).. .173 tf depth to space(input, block size, name=None) 175 tf gather (params, indices, validate indices-None, name=None)∴ ::.::::::::a::.a:::::::::::aaa_a::::::a …177 tf dynamic partition(data, partitions, num partitions, name=None 178 tf. dynamic stitch( indices,data,name-None)…………181 tf boclean mask(tensor, mask, name=boolean mask) 182 other functions and classes 184 Lf. shape n( input,name=None)………….……..….…184 tf. unique with counts(x, name=None) 着, .184 Math 185 Arithmetic Operators ·· 188 tf. add(x, y, name=Ncne) 188 t. sub(x, y, name=None) 189 tf.mu1(x,y,name=Ncne)………, 着音。音音非·音音自自‖着非··意 190 t王.div(x,y,name=Ncne)… 190 tf. truediv(x, y, name-None)............. 191 tf. flcordiv(x,y,name=None)…… 192 tf mod(x, y, name=None).. 193 tf. cross(a b, name=None) 193 Basic math Functions 94 tf. add n(inputs, name=None) 194 tf. abs(x, name=None) 195 tf.neg(x,name=lone)……… 1:;音非 196 t.sign(x,name=None)…… 196 tf.inv(x;name=None)....,.,….,…,…,…………197 tf. square(x,nane=None)……,…,…,,… t工, round(,name=None),…, 4198 t.sqrt(x,name=None)…… .199 tf. rsqrt(x, name=None 199 t. pow(x, y, name=None) 200 tf.exp(x,name-None)…….,…,…,…,…,…,…,…,…,…,…,…,…,…….201 t王.1og(x,name=None 201 tf ceil(x, name-None) 202 tf floor(x, name=-None) …202 tf. maximum(x, y, name=None 203 七f mum(x, y, name=None) 203 tf.c○S(x,name=None)…… 204 tf. sin(x, name=None) 204 t.1 gamma(x,name=Ncne)………… 205 tferf(x, nane=None).. 206 t上.erc( X name=None) 206 Matrix math functions ·a..a::::::::::aa.·Baa:a::: 207 tfdiag(diagonal name=None) 207 tf. transpose(a,perm-None,name-' transpose')……,……,,…,208 t. matmul(a, b, transpose a=False, transpose b=False, a Is sparse= False, h is sparse= False;name=Ncne)……………….209 tf batch matmul(x, y, ad x-None, ad]y-None, name-None). 210 tf matrix determinant (input, name=None) 212 tf. batch matrix determinant( input;name-None)…………212 tf matrix inverse(input, name=None) 213 tf. batch matrix inverse( input,name=None)…………………214 tf cholesky(input, name=None) tf batch cholesky(input, name=None) 215 tf, self adioint eig( input,name=None)…………………………216 tf batch self adjoint eig(input, name=None) 217 tf, matriX So1ve( matrix;rhs,name=None)…… 217 tf batch matrix solve(matrix, rhs, name-None).. 218 tf matrix triangular solve(matrix, rhs, lower=None, name-None)………219 t. batch matrix triangular solve(matrix, rhs, lower=None name-None ).. .220 tf matrix solve ls(matrix, rhs, 12 regularizer=oO fast=True, name=None).................. 21 tf batch matrix solve ls(matrix, rhs, 12 regularizer=0.0, fast=True, name=None 223 Complex Number Functions 225 t f complex(real, imag, name=None) .225 tf. complex abs(x,name=None)…………,…,…………,…,…………226 t土 j(in name=Ncne 226 tf imag(i lame=None) 227 tf. real (in, name=Ncne ∴228 t.fft2d(in,name-None)……,29 七王.ift2d( In name=None) 229 Reduction.wwwwwwwwwwwwwwwww...230 t. reduce sum(input tensor, reduction indices=None, keep dims= False,name=None)……… 230 tf reduce prod(input tensor, reduction indices=, keep dims= False,nlae=None)……,…,…,…,…,,, 231 tf reduce min(input tensor, reduction indices=none, keep dims=False, name=None) 232 t. reduce max (input tensor, reduction indices=None, keep dims= False;nae=None)…… .233 tf reduce mean(input tensor, reduction indices=None r keep dims= False;name=None)…………,… ,234 tf reduce all(input tensor, reduction indices=None, keep dims= False,name=None)………… 235 tf reduce any (input tensor, reduction indices=None, keep dims=False, name=None) 236 tf accumulate n(inputs, shape=None, tensor at ype=None, name-None 237 Segmentation 238 tf. segment sum( data, segment ids,name=None)……………,239 tf segment prod(data, segment ids, name=None) 240 tf. segment min( datar segment ids, naine=None)……… 242 t. segment max(data, segment ids, name=None 243 tf. segment mean(data, segment ids,name=None)………………,245 tf unsorted segment sum(data, segment ids, num segments, name=None)... .246 tf sparse segment sum(datar indices, segment ids, name=None)… 248 tf sparse segment mean(data, indices, segment ids, name-None) :::::::::· :..:a:::: 249 t.f. sparse segment. sart. n(data, indices, segment. ids, name=None 250 Sequence Comparison and Indexing 251 tf argmin (input, dimension, name=None)......... 251 tf. argmax( input, dimension;name-None)……,,…,…,…… 252 tf. listdiff(x, y, name=None) 253 tf. where( input,name-None),,.,.,,,…,…,… 254 tf. unique(x, name-Ncne) 255 tf edit distance (hypothesis, truth, normalize-True, name=edit distance)........ 256 tf invert permutation(x, name=None) .258 Other functions and classes 259 tf scalar mul(scalar, x) 259 tf sparse segment sart n grad(grad, indices, segment ids, output dimo, name-None) 259 Control flow 260 Control Flow Operations. .............................................................................261 tf. identity( input,name=None)………… 261 tf tuple(tensors, name=None, control inputs=None) 262 Lf. grcup(* inputs,** kwargs)……… 263 tf.noop(name=None)…………….…. 264 f. count up to(ref,1init, nane= None)……………,…,……,…264 tt cond (pred, fnl, fn2, name=None) .265 Logical Operators… 266 tf logical and(x, y, name=None) 266 t.1 ogical not( X name=None)…… .267 tf logical or(x, y, name=None) 267 t.1 giCa1xor(x,y;name= LogIca⊥xor!)… .268 Comparison Operators 非着着自非 268 tf. equal(x, y, name=None)........... 268 tf. not equa(x,y,name-None)………,…, 269 tf. less(x, y, name-None) 269 tf.1 ess equa1(x,y,name=None)……,…,…,…,…,…,… 270 tf. greater(x,y;nare=None)……… 271 tf. greater equal(x, y, name=None) 271 tf. select (condition, tr e, name=None) 272 t. where( input;name=None)…… 273 Debugging Operations………,… 274 tf. is finite(x, name=None).......... .275 tf. is inf(x,name=Ncne)……,,….,,…,…,…,,………,275 tf is nan(x, name=Ncne) ∴276 tf. verify tensor a11 finite(t,msg,name-None)……………,276 tf check numerics(tensor, message, name=None) 277 tf. add check numerics ops()……… 277 tf Assert(condition, data, summarize=None, name=None)...278 tf Print(input data, message-None, first n=None, SummariZe-None,name-None),………,… 278 age 279 Encoding and decoding 281 t. image decode jpeg(contents, channels=None, ratio=None, fancy upscaling=None, try recover truncated=None, acceptable fraction=None, name=None) 282 tf image encode jpeg(image, format=None, quality=None, progressive=None, optimize size=Ncne, chroma downsampling=None, density unit=None, x density=None, y density=None, xmp metadata=None, name-None)∴……283 t. image decode png(contents, channels=Ncne, dtype=None r name=None)............ .285 tf image encode png(image, compression=None, name=None).286 Resizing 287 tf image. resize images(images, new height, new width, method=o, align corners=False) 287 tf image. resize area(images, size, align corners=None, name=None).. .289 tf image. resize bicubic(images, size, align corners-Noner name=None 290 tf image. resize bilinear(images, size, align corners=None name=None)… 291 tf image. resize nearest nei ghbor(images, size, align corners=None, name=None) 291 pping 292 tf image. resize image with crop or pad(image, target height, target width) 292 tf image pad to bounding box(image, offset height offset width, target height, target width) tf image. crop to bounding box(image, offset height, offset width, target height, target width)……,…,…… 294 t.f. image extract glimpse(input, size, offsets, centered-None, normalized-None, uniform noise-None name=None 296 Flipping and transposing…… ∴297 tf. Ima ge.f1 ip up down( image)……………… ∴297 tf. image. randoM f1 ip up down( TIllage,seed=None)……………,298 t. image flip left right (image) 299 tf. image random flip left right(image, seed=None) 299 tt image. transpose image (image) 300 Converting Between tf image rgb to grayscale(images) ..302 tf image grayscale to rgb(images) 302 【实例截图】
【核心代码】
标签：
好例子网口号：伸出你的我的手 — 分享！
相关软件
小贴士
感谢您为本站写下的评论，您的评论对其它用户来说具有重要的参考价值，所以请认真填写。
- 类似“顶”、“沙发”之类没有营养的文字，对勤劳贡献的楼主来说是令人沮丧的反馈信息。
- 相信您也不想看到一排文字/表情墙，所以请不要反馈意义不大的重复字符，也请尽量不要纯表情的回复。
- 提问之前请再仔细看一遍楼主的说明，或许是您遗漏了。
- 请勿到处挖坑绊人、招贴广告。既占空间让人厌烦，又没人会搭理，于人于己都无利。
关于好例子网
本站旨在为广大IT学习爱好者提供一个非营利性互相学习交流分享平台。本站所有资源都可以被免费获取学习研究。本站资源来自网友分享，对搜索内容的合法性不具有预见性、识别性、控制性，仅供学习研究，请务必在下载后24小时内给予删除，不得用于其他任何用途，否则后果自负。基于互联网的特殊性，平台无法对用户传输的作品、信息、内容的权属或合法性、安全性、合规性、真实性、科学性、完整权、有效性等进行实质审查；无论平台是否已进行审查，用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二与二十三条之规定，若资源存在侵权或相关问题请联系本站客服人员，点此联系我们。关于更多版权及免责申明参见 版权及免责申明
网友评论
我要评论