photo

Yomna Genina

Last seen: 4 días hace Con actividad desde 2021

Followers: 0   Following: 0

Estadística

  • Knowledgeable Level 2
  • Revival Level 1
  • First Answer

Ver insignias

Feeds

Ver por

Respondida
Error in createLgraphUsingConnections
This is the example that the error message is referring to: https://www.mathworks.com/help/deeplearning/ug/train-deep-learning-n...

más de 1 año hace | 0

Respondida
This question is regarding neural network EEG classification..
I would recommend checking out this example on converting scalograms to images for use in a CNN: https://www.mathworks.com/help...

alrededor de 3 años hace | 1

Respondida
In Deep Learning Toolbox, what input layer should I use for simple dataframe-type input?
Starting R2020b, you could use featureInputLayer for a dataset containing numeric features. See this example for more details:...

alrededor de 3 años hace | 0

Respondida
Unable to use a value of type DAGNetwork as an index.
There is no need to create a new layer graph as you already saved the last checkpoint network in the net variable which could be...

más de 3 años hace | 0

Respondida
Importing two pretrained networks in Deep Network Designer
It is possible to add a network to an already existing network in Deep Network Designer starting from R2020b. This is an examp...

más de 3 años hace | 0

Respondida
Multi-output network design in "Deep Network Designer"
It is possible to design a multi-output network in Deep Network Designer, however it is not possible to train it using Deep Netw...

más de 3 años hace | 1

| aceptada

Respondida
re training neural network from previous state using trainNetwork
You can do the following if Net1 is a SeriesNetwork: Net2 = trainNetwork(XTrain2, YTrain2, Net1.Layers, options); or if Net1 i...

casi 4 años hace | 4

| aceptada

Respondida
Error using ("Weights","none") for pretrained networks
trainFastRCNNObjectDetector requires the input lgraph to be a valid Fast R-CNN network, that's why it errors when a GoogLeNet ne...

casi 4 años hace | 0

| aceptada