Skip to content Skip to sidebar Skip to footer
Showing posts with the label Deep Learning

Eval And Test_minibatch In Cntk

We are using TrainResNet_CIFAR10.py as an example to learn cntk. We have created two methods, eva… Read more Eval And Test_minibatch In Cntk

How To Dynamically Index The Tensor In Pytorch?

For example, I got a tensor: tensor = torch.rand(12, 512, 768) And I got an index list, say it is:… Read more How To Dynamically Index The Tensor In Pytorch?

Keras Valueerror: Output Of Generator Should Be A Tuple (x, Y, Sample_weight) Or (x, Y). Found: None

I have Unet model from Retina Unet, However I have augmented the images as well as the masks. Now?… Read more Keras Valueerror: Output Of Generator Should Be A Tuple (x, Y, Sample_weight) Or (x, Y). Found: None

How To Use Reshape Keras Layer With Two None Dimension?

I have a keras 3D/2D model. In this model a 3D layer has a shape of [None, None, 4, 32]. I want to … Read more How To Use Reshape Keras Layer With Two None Dimension?

How To Predict Float Vector Labels With Caffe?

I was wondering if it's possible to predict a 1-by-n feature associated to an input image using… Read more How To Predict Float Vector Labels With Caffe?

Non-identical Results From String Identifier And Actual Class Names For Activations, Loss Functions, And Metrics

I have the following keras model that is working fine: model = tf.keras.Sequential( [ #fir… Read more Non-identical Results From String Identifier And Actual Class Names For Activations, Loss Functions, And Metrics

Fine-tune Bert For Specific Domain (unsupervised)

I want to fine-tune BERT on texts that are related to a specific domain (in my case related to engi… Read more Fine-tune Bert For Specific Domain (unsupervised)

Valueerror: Input 0 Of Layer Sequential_16 Is Incompatible With The Layer: Expected Ndim=5, Found Ndim=4. Full Shape Received: [none, 224, 224, 3]

I am using transfer learning with MobileNet and then sending the extracted features to a LSTM for v… Read more Valueerror: Input 0 Of Layer Sequential_16 Is Incompatible With The Layer: Expected Ndim=5, Found Ndim=4. Full Shape Received: [none, 224, 224, 3]