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How to stack Transfer Learning models in a Sequential
To make a nice architecture, I wanted to stack Transfer Learning models one over the other.
The three models I wanted to stack were :
VGG16
InceptionV3
Resnet50
So, I defined the three models as fol...
Adit Magotra
Votes: 0
Answers: 1
ValueError in resnet 50
I tried training my dataset with resnet50:
class_names = train_ds.class_names
num_classes=len(class_names)
resnet_model = Sequential()
pretrained_model= tf.keras.applications.ResNet50(include_top=F...
Dszyk
Votes: 0
Answers: 0
Validation Accuracy and training accuracy not improving after applying Transfer learning
I am working on a project in which i am trying to implement transfer learning to classify ECG signals (1-Dimentional). I have a pretrained model with pretty good accuracy, but the model was trained on...
Wiqi Khan
Votes: 0
Answers: 1
How to use the Inception model for transfer learning in PyTorch?
I have created a PyTorch torchvision model for transfer learning, using the pre-built ResNet50 base model, like this:
# Create base model from torchvision.models
model = resnet50(pretr...

Matthias
Votes: 0
Answers: 1