Parinaya Chaturvedi
Parinaya Chaturvedi
hi @anandi1989 you can simply print the loaded model in a notebook and it will give you the algorithm, hyperparameters, etc, details.
Look "reduce_mean" function in utils.py carefully and also after this function is applied using axis=2, we are taking the mean of the sum of squared sum of vector so the...
You can definitely use capsule net for medical imaging but then you will have to be careful about the architecture. You need to be aware of what type of entities...
@AuliaRizky In your case, I don't think the basic architecture will work. And as you said, conv3D should be applied for initial layers and then for primary capsule layer it's...
@AuliaRizky Everytime when you apply a network to a new kind of dataset you need to run the model with various combinations of hyperparameters for the network. But I would...
Take a look at my answer https://stackoverflow.com/a/52457331/7642584
The length of vector represents the probability of existence of a given entity/object/object-part. Vector length is simply the magnitude of the vector (vector-norm).
Can you please elaborate your problem of high dimensionality and small-sample? From what I got is that you want to know that how to converge training accuracy when input data's...
@guddulrk you must first hand simulate the output of conv1 in your case of input to conv1 i.e., 48x48x3. You will see that output of conv1 in your case will...
@SoloyT You cannot reshape array of size 651786224 into [ _, 32, 32, 3] as 651786224 is not a multiple of 32x32x3. Please look into what you actually have to...