
Keras基础自学
gamblerofdestinyR14
这个作者很懒,什么都没留下…
展开
专栏收录文章
- 默认排序
- 最新发布
- 最早发布
- 最多阅读
- 最少阅读
-
Opencv基础自学十六(二值图像)
import cv2 as cvimport numpy as npdef threshold_demo(image): #全局阈值 gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)#变为灰度 ret, binary = cv.threshold(gray, 127, 255, cv.THRESH_BINARY | cv.THRESH_OTSU...原创 2020-02-01 16:57:42 · 344 阅读 · 0 评论 -
Opencv基础自学十五(图像对比)
#巴氏距离 相关性#直方图,颜色有255,然后分别统计有多少个import cv2 as cvimport numpy as npfrom matplotlib import pyplot as pltdef create_rgb_hist(image): h, w, c = image.shape rgbHist = np.zeros([16*16*16, 1], np.f...原创 2020-02-01 16:57:30 · 456 阅读 · 0 评论 -
Opencv基础自学十四(直方图均衡化)
import cv2 as cvimport numpy as npfrom matplotlib import pyplot as plt#直方图均衡化必须先灰度化def equalHist_demo(image): gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY) dst = cv.equalizeHist(gray) #自动调整图像对...原创 2020-02-01 16:55:58 · 293 阅读 · 0 评论 -
Opencv基础自学十三(直方图)
import cv2 as cvimport numpy as npfrom matplotlib import pyplot as pltdef plot_demo(image):#灰度直方图 plt.hist(x=image.ravel(),bins=256,range=[0,256]) plt.show("直方图") # hist =》ravel() 英语 (散开,解开)将...原创 2020-02-01 16:56:02 · 205 阅读 · 0 评论 -
Opencv基础自学十二(双边滤波和均值迁移)
import cv2 as cvimport numpy as np#双边滤波,俗称滤镜def bi_demo(image): dst=cv.bilateralFilter(src=image,d=0,sigmaColor=100,sigmaSpace=15) cv.imshow("bi_demo",dst) #d bilateralFilter #d参数表示在过滤期间使用的...原创 2020-02-01 16:55:51 · 359 阅读 · 0 评论 -
Opencv基础自学十二(高斯模糊)
import cv2 as cvimport numpy as npdef clamp(pv): if pv>255: return 255 if pv<0: return 0 else: return pvdef gaussian_noise(image): h,w,c=image.shape for row in range(h): for ...原创 2020-02-01 16:54:33 · 237 阅读 · 0 评论 -
Keras基础自学二十(图像旋转,图像剪切,图像移动)
from keras.datasets import mnistfrom keras.preprocessing.image import ImageDataGeneratorfrom matplotlib import pyplot as pltfrom keras import backendbackend.set_image_data_format('channels_first...原创 2020-01-31 10:40:01 · 822 阅读 · 0 评论 -
Keras基础自学十九(复杂图像处理)
from keras.datasets import mnistimport numpy as npfrom keras.models import Sequentialfrom keras.layers import Densefrom keras.layers import Dropoutfrom keras.layers import Flattenfrom keras.lay...原创 2020-01-31 10:39:56 · 346 阅读 · 0 评论 -
Keras基础自学十七(简单图像处理)
from keras.datasets import mnistimport numpy as npfrom keras.models import Sequentialfrom keras.layers import Densefrom keras.layers import Dropoutfrom keras.layers import Flattenfrom keras.lay...原创 2020-01-30 16:05:02 · 272 阅读 · 0 评论 -
Keras基础自学十六(学习率指数衰减)
from sklearn import datasetsimport numpy as npfrom keras.models import Sequentialfrom keras.layers import Densefrom keras.wrappers.scikit_learn import KerasClassifierfrom keras.optimizers import...原创 2020-01-30 16:04:45 · 1831 阅读 · 0 评论 -
Keras基础自学十五(学习率线性衰减)
from sklearn import datasetsimport numpy as npfrom keras.models import Sequentialfrom keras.layers import Densefrom keras.wrappers.scikit_learn import KerasClassifierfrom keras.optimizers import...原创 2020-01-30 16:04:08 · 572 阅读 · 0 评论 -
Keras基础自学十四(放弃层)
from sklearn import datasetsimport numpy as npfrom keras.models import Sequentialfrom keras.layers import Dropoutfrom keras.layers import Densefrom keras.optimizers import SGDfrom keras.wrapper...原创 2020-01-30 16:04:05 · 225 阅读 · 0 评论 -
Keras基础自学十三(设置检查点,另外的方法)
from sklearn import datasetsimport numpy as npfrom keras.models import Sequentialfrom keras.layers import Densefrom keras.utils import to_categoricalfrom keras.callbacks import ModelCheckpoint...原创 2020-01-30 16:03:53 · 325 阅读 · 0 评论 -
Keras基础自学十二(设置检查点)
from sklearn import datasetsimport numpy as npfrom keras.models import Sequentialfrom keras.layers import Densefrom keras.utils import to_categoricalfrom keras.callbacks import ModelCheckpoint...原创 2020-01-30 16:03:37 · 303 阅读 · 0 评论 -
Keras基础自学十一( 加载权重)
one-hot encodingY_labels = to_categorical(Y, num_classes=3)# 设定随机种子seed = 7np.random.seed(seed)# 构建模型函数def load_model(optimizer='rmsprop', init='glorot_uniform'): # 构建模型 model = Sequen...原创 2020-01-30 16:03:41 · 489 阅读 · 0 评论 -
Keras基础自学十(YAML导入和增量)
from sklearn import datasetsimport numpy as npfrom keras.models import Sequentialfrom keras.layers import Densefrom keras.utils import to_categoricalfrom keras.models import model_from_yaml# ...原创 2020-01-30 16:03:05 · 547 阅读 · 0 评论 -
Keras基础自学九( JSON导入和增量)
from sklearn import datasetsimport numpy as npfrom keras.models import Sequentialfrom keras.layers import Densefrom keras.utils import to_categoricalfrom keras.models import model_from_jsonfrom...原创 2020-01-30 16:02:58 · 391 阅读 · 0 评论 -
Keras基础自学八(调节层数复杂化)
import numpy as npfrom keras.models import Sequentialfrom keras.layers import Densefrom keras.wrappers.scikit_learn import KerasClassifierfrom sklearn.model_selection import cross_val_scorefrom ...原创 2020-01-30 16:02:18 · 323 阅读 · 0 评论 -
Keras基础自学七(参数和层数调试)
from sklearn import datasetsimport numpy as npfrom keras.models import Sequentialfrom keras.layers import Densefrom keras.wrappers.scikit_learn import KerasRegressorfrom sklearn.model_selection...原创 2020-01-31 10:35:59 · 803 阅读 · 0 评论 -
Keras基础自学六(参数调试)
from keras.models import Sequential #按顺序建立 模型from keras.layers import Dense #Dense 全连接层 ; Activation 激活函数层from sklearn.model_selection import GridSearchCV#参数调试函数from keras.wrappers.scikit_learn im...原创 2020-01-29 17:32:14 · 362 阅读 · 0 评论 -
Keras基础自学五(构建基准模型)
from sklearn import datasets#sklearn提供的自带的数据集import numpy as npfrom keras.models import Sequentialfrom keras.layers import Densefrom keras.wrappers.scikit_learn import KerasClassifierfrom sklear...原创 2020-01-29 17:32:03 · 417 阅读 · 0 评论 -
Keras基础自学四( sklearn交叉验证)
from keras.models import Sequentialfrom keras.layers import Denseimport numpy as npfrom sklearn.model_selection import cross_val_scorefrom sklearn.model_selection import StratifiedKFoldfrom kera...原创 2020-01-29 17:32:01 · 351 阅读 · 0 评论 -
Keras基础自学三(交叉验证)
from keras.models import Sequentialfrom keras.layers import Denseimport numpy as npfrom sklearn.model_selection import StratifiedKFoldseed = 7# 设定随机数种子np.random.seed(seed)dataset = np.l...原创 2020-01-29 17:31:55 · 1331 阅读 · 0 评论 -
Keras基础自学二(基本模型+手动评估)
from keras.models import Sequential#顺序模型from keras.layers import Dense#Dense 全连接层from sklearn.model_selection import train_test_split#利用它的函数分割import numpy as npseed = 7# 设定随机数种子np.random.se...原创 2020-01-29 17:31:39 · 201 阅读 · 0 评论 -
Keras基础自学一(基本模型+自动评估)
Keras容易入门,比起tensorflow和PyTorch虽然容易上手,但还是有些不太容易理解,建议学的时候多看书和视频,慢慢理解from keras.models import Sequential#顺序模型from keras.layers import Dense #Dense,表示全连接层from keras.layers import Dropout#放弃层import...原创 2020-01-29 17:31:39 · 497 阅读 · 0 评论