VGG-16 / VGG-19

Visual Geometry Group

VGG 뒤의 숫자는 CNN 레이어의 갯수

CNN(Convolutional Neural network) - 나선형의/복잡한 신경망으로 해석이 되나?

 

[링크 : https://wikidocs.net/164796]

 

탐지도 되긴 하나본데...

[링크 : https://github.com/zubairsamo/Object-Detection-With-Tensorflow-Using-VGG16]

 

keras에 있는 VGG16을 그냥 바로 써서 간단하게 되네..

게다가 save load도 되는데 왜 난 안될까.. ㅠㅠ

# lets import pre trained VGG16 Which is already Builtin for computer vision from tensorflow.keras.applications import VGG16 from tensorflow.keras.layers import Input       # Imagenet is a competition every year held and VGG16 is winner of between  2013-14 # so here we just want limited layers so thats why we false included_top  vgg=VGG16(weights='imagenet',include_top=False,input_tensor=Input(shape=(224,224,3))) # lets save model  model.save('detect_Planes.h5')      from tensorflow.keras.models import load_model model=load_model('/content/detect_Planes.h5')

[링크 : https://github.com/zubairsamo/Object-Detection-With-Tensorflow-Using-VGG16/blob/main/Object_Detection_Using_VGG16_With_Tensorflow.ipynb]