CODEWITHSUNDEEP
pythontensorflowkeras
Vidya Pb
Vidya Pb

Reputation: 41

How to import InceptionV4 model which is pre-trained to train our model in Kaggle?

inputs = Input(shape=(img_dims, img_dims, 3))
from keras.applications.inception_v3 import InceptionV3
base_model = InceptionV3(weights='imagenet',include_top=False,input_shape=(img_dims, img_dims, 3))
x = base_model.output
x = Dropout(0.5)(x)
from keras.layers import GlobalAveragePooling2D
x = GlobalAveragePooling2D()(x)
x = Dense(128,activation='relu')(x)
x = BatchNormalization()(x)
output = Dense(1,activation = 'sigmoid')(x)

How to replace inception v3 with inception v4 and call the required weights?

Upvotes: 2

Views: 2471

Answers (1)

user11530462
user11530462

Reputation:

Currently to my knowledge there is no API available to use InceptionV4 in Keras.

Instead, you can create the InceptionV4 network and load the pretrained weights in the created network in this link.

To create InceptionV4 and use it in your code, you can refer the link here.

Upvotes: 2

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