Created
December 23, 2019 11:32
-
-
Save iamatulsingh/b45f5dade88e41c99c7fcdf83867b29c to your computer and use it in GitHub Desktop.
face recognition model
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from tensorflow.keras.models import Sequential | |
from tensorflow.keras.layers import Conv2D, ZeroPadding2D, MaxPooling2D, \ | |
Dropout, Flatten, Activation | |
def get_model(): | |
model = Sequential() | |
model.add(ZeroPadding2D((1,1),input_shape=(224,224, 3))) | |
model.add(Conv2D(64, (3, 3), activation='relu')) | |
model.add(ZeroPadding2D((1,1))) | |
model.add(Conv2D(64, (3, 3), activation='relu')) | |
model.add(MaxPooling2D((2,2), strides=(2,2))) | |
model.add(ZeroPadding2D((1,1))) | |
model.add(Conv2D(128, (3, 3), activation='relu')) | |
model.add(ZeroPadding2D((1,1))) | |
model.add(Conv2D(128, (3, 3), activation='relu')) | |
model.add(MaxPooling2D((2,2), strides=(2,2))) | |
model.add(ZeroPadding2D((1,1))) | |
model.add(Conv2D(256, (3, 3), activation='relu')) | |
model.add(ZeroPadding2D((1,1))) | |
model.add(Conv2D(256, (3, 3), activation='relu')) | |
model.add(ZeroPadding2D((1,1))) | |
model.add(Conv2D(256, (3, 3), activation='relu')) | |
model.add(MaxPooling2D((2,2), strides=(2,2))) | |
model.add(ZeroPadding2D((1,1))) | |
model.add(Conv2D(512, (3, 3), activation='relu')) | |
model.add(ZeroPadding2D((1,1))) | |
model.add(Conv2D(512, (3, 3), activation='relu')) | |
model.add(ZeroPadding2D((1,1))) | |
model.add(Conv2D(512, (3, 3), activation='relu')) | |
model.add(MaxPooling2D((2,2), strides=(2,2))) | |
model.add(ZeroPadding2D((1,1))) | |
model.add(Conv2D(512, (3, 3), activation='relu')) | |
model.add(ZeroPadding2D((1,1))) | |
model.add(Conv2D(512, (3, 3), activation='relu')) | |
model.add(ZeroPadding2D((1,1))) | |
model.add(Conv2D(512, (3, 3), activation='relu')) | |
model.add(MaxPooling2D((2,2), strides=(2,2))) | |
model.add(Conv2D(4096, (7, 7), activation='relu')) | |
model.add(Dropout(0.5)) | |
model.add(Conv2D(4096, (1, 1), activation='relu')) | |
model.add(Dropout(0.5)) | |
model.add(Conv2D(2622, (1, 1))) | |
model.add(Flatten()) | |
model.add(Activation('softmax')) | |
return model |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment