Katja Mogalle
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3 of your answers have been accepted
Awarded to Katja Mogalle on 02 Jul 2021
Contribute at least one answer each month for 3 consecutive months
Awarded to Katja Mogalle on 02 Jul 2021
Answer 3 questions that were unanswered for more than 30 days
Awarded to Katja Mogalle on 01 Jul 2021
Provide your first answer ever to someone else's question
Awarded to Katja Mogalle on 30 Apr 2021
Content Feed
In a custom deep learning training loop, can I use my own custom function for computing the gradients?
Re "However, I would like to control certain convolution layer weights during a few iterations of the training, as in "set and h...
4 meses ago | 0
Update a parameter which is not learnable in Custom Layers Deep Learning
The technical and not too helpful answer is that custom layers are not handle classes and the predict function doesn't return th...
4 meses ago | 1
| accepted
Can automatic differentiation in a custom deep learning layer keep track of the random numbers generated in the forward function of the layer?
The automatic differentiation framework stores the actual random numbers generated during the forward pass and uses them directl...
4 meses ago | 0
Predictors must be a N-by-1 cell array of sequences, where N is the number of sequences. All sequences must have the have the same feature dimension and at least one time step
Hi Seyed, I see you've chosen to use a sequenceInputLayer in your network. Sequences are data with a "time" dimension as well a...
4 meses ago | 1
Sequence-to-Sequence Classification Using 1-D Convolutions
Hi Parichada, Just from this error and without the complete code, it's difficult to say what exactly is wrong. I suspect that...
8 meses ago | 0
| accepted
CNN error using deep network designer
Hi Teo, As you already noticed, the shufflenet branch results in 544 channels and the resnet18 branch results in 512 channels. ...
8 meses ago | 0
| accepted
Can I define a custom loss function using intermediate features?
Hi Sangmin, I understand you want to define a loss function that requires ground truth data, intermediate network activations, ...
11 meses ago | 1
| accepted
How to connect fully connecter layer with convolutional layer
Starting from MATLAB R2021a, there are a couple of new capabilities that could be helpful with this workflow. Firstly, you note...
11 meses ago | 0
| accepted
update state in dlnetworks
Great question, and good observation. I think it would be best practise to indeed also update the state for the siamese network....
11 meses ago | 0
Cannot have a dimension-increasing custom layer with dlnetwork
Hi John, The capability that you are asking for has been added in R2021a. The following documentation example shows how to impl...
11 meses ago | 0
| accepted
could anyone help me how to feed the validation data into the options in deep neural network.
In order to perform validation periodically during training using trainNetwork, you can specify the validation data in the train...
11 meses ago | 0
The batchnorm() function input trainedMean, trainedVar has no effect on the result?
Hello cui, If I understand it correctly, you're wondering why the normalized data returned by batchnorm is the same, no matter ...
11 meses ago | 0
| accepted
i just build a new deep learning network layer and i got this error
Hello Madhu, It looks like you used the Deep Network Designer app to build the network and now you are trying to train it. The...
alrededor de 1 año ago | 0
How to classify with DAG network from checkpoint
@Gediminas Simkus had the right idea for the workaround. I can sketch this out a bit more. Background information To make pred...
alrededor de 1 año ago | 1
