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Questions tagged [transfer-learning]

749 questions
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Image Data generating for data augmentation

I am working on image classification by transfer learning in the 12 several classes of the dataset. However, I am facing overfitting. As a result, I applied data augmentation (Maybe flying) for recovering the overfitting but that unable to…
Turjoy Ahmed
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Facing ValueError: Shapes (None, None) and (None, 256, 256, 12) are incompatible

İ am working on transfer learning for multiclass classification of image datasets that consists of 12 classes. As a result, İ am using VGG19. However, I am facing an error i.e. Facing ValueError: Shapes (None, None) and (None, 256, 256, 12) are…
Turjoy Ahmed
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Transfer Learning with ResNet50 for image classification

Hello guys I could use some advice on whether my approach that I employed in order to apply transfer learning on the resNet50 model is correct, after reading many articles and resources online, it is hard to say if the method I adopted is correct. I…
highwiz10
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Training a model with Resnet152, saving the weights, loading them and adding more layers issue

My goal is to first train only using ResNet152 and then save the learned weights. Then i want to use these weights as a base for a more complex model with added layers which i ultimately want to do hyperparameter tuning on. The reason for this…
JKnecht
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what are the features that are extracted from the last pooling layer of inceptionv3?

what are the features that are extracted from the last pooling layer of inceptionv3? I'm using inceptionv3 to extract features from clothes . I extracted the features from the last pooling layer to use them in another model.
user13506903
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How do I solve this problem during transfer learning ResNet-50?

I am training Resnet-50 to classify 9 classes. I am using following code, transfer learning, to train the model. Train and test loss and accuracy seem to be fine but when I am testing network against new images I see lots of mistakes. I feel like…
nikki
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Can a pretrained Deep learning model of objects (chair, table) be used to do transfer learning and classify telecom equipment?

I want to classify telecom devices: switches, routers, etc. I know that there are pre-trained model available online: https://github.com/tensorflow/models Will it be possible to use transfer learning using those? Or do I have to use a pre-trained…
Aizzaac
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Keras Transfer Learning

Let's say that I wanted to train a ConvNet to tell me if in a photo it is raining or not, how will the procedures be? Given that I have two train variables, trainX and trainY, the trainX will be the photo and trainY will be the labels (e.g. rain or…
Jerome Ariola
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cnn deep learning for low resolution thermal image using transfer learning

I need to train model for object detection for very low resolution thermal camera without data set. The camera resolution is 32x24 pixels, (the camera is MLX90640) Can I use pre-train weigh? or I need to downsample well known data set, and train it…
Ron Yadgar
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Transfer learning for ConvLstm ucf101 to hmdb51

I have trained my cnn-lstm on ucf 101 dataset. Now I want to train it on hmdb-51 dataset only on the last Dense layer a using pretained ucf-101 model weight for the rest of the layers. How can I do that??
raja
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What are pretrained weights and initialization weights in Mask R-CNN?

I'm trying to train Mask R-CNN for instance segmentation. Where are some available pretrained models. Are these weights for the whole neural net or only for encoder/backbone (for instance resnet50)? Also there's initializations weights using…
Kenzie
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Is it normal that transfer learning (VGG16) performs worse on CIFAR-10?

Note: I am not sure this is the right website to ask these kind of questions. Please tell me where I should ask them before downvoting this "because this isn't the right place to ask". Thanks! I am currently experimenting with deep learning using…
wohe1
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Transfer Learning - Val_loss strange behaviour

I am trying to use transfer-learning on MobileNetV2 from keras.application in phyton. My images belongs to 4 classes with an amount of 8000, 7000, 8000 and 8000 images in the first, second, third and last class. My images are gray-scaled and resized…
mathemagier
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How to do transfer learning in sentiment analysis?

I want to build an app where I can enter any Twitter keywords, the backend will crawl related tweets and return sentiment analysis of the tweets in percentage of negative, neutral and positive tweets. For example, I enter the keyword 'pepsi', the…
CathyQian
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Binary image classification with XGboost as classifier instead of neural network

I am looking for resources that can guide me to use XGboost as my final classifier after feature extraction by CNN and how to save the features generated by CNN and use it for classification by any other techniques like random forest or xgboost.
sathvik
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