deep-learning-models
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Keras code and weights files for popular deep learning models.
See https://github.com/keras-team/keras/issues/9276 and https://github.com/keras-team/keras/issues/9284
Looking at the [accuracy vs size vs FLOPs graph](https://culurciello.github.io/tech/2016/06/04/nets.html) makes it clear why GoogLeNet is commonly sought as a standard model in Keras. This PR includes an implementation in Keras...
Hello I have written the following code: validate on val set predictions = model.predict(X_val_prep) predictions = [1 if x>0.5 else 0 for x in predictions] accuracy = accuracy_score(y_val, predictions) print('Val...
Hello I have written the following code: validate on val set predictions = model.predict(X_val_prep) predictions = [1 if x>0.5 else 0 for x in predictions] accuracy = accuracy_score(y_val, predictions) print('Val...
In the file imagenet_utils.py, the prepocess_input function doesn't contain a normalization procedure, so if I am about to use pretrained VGG19, is it necessary to add this normalization procedure. What's...
I am trying to run the xception model code but it gives a type error of: _obtain_input_shape() got an unexpected keyword argument 'include_top'
Hi, I want to load a keras model in parent process and access by child process but i got many issue.what is correct way to do this.is it possible or...
I downloaded my network architecture from here: https://github.com/flyyufelix/cnn_finetune If I train resnet_50.py on my own data while using pretrained model resnet50_weights_tf_dim_ordering_tf_kernels.h5 the error message will be like this: ValueError: Dimension...
Sorry to trouble you, I have a problem about training the keras model.Recently,I used the existing models from keras applications like VGG16,VGG19. The applications provide the existing models which are...