All Questions
8 questions with no upvoted or accepted answers
5
votes
0
answers
365
views
What are the ways to calculate the error rate of a deep Convolutional Neural Network, when the network produces different results using the same data?
I am new to the object recognition community. Here I am asking about the broadly accepted ways to calculate the error rate of a deep CNN when the network produces different results using the same data....
- 51
3
votes
0
answers
521
views
Deep NN architecture for predicting a matrix from two matrices
Recently my friend asked me a question: having two input matrices X and Y (each size NxD) where D >> N, and ground truth matrix Z of size DxD, what deep architecture shall I use to learn a deep model ...
- 31
1
vote
0
answers
955
views
What would be the advantage of making channel dimension first in TensorFlow Keras implementation?
I was reproducing the findings of a research article in which I discovered that they had switched the Channel dimension from last to first. To clarify this concept, I went through A Gentle ...
- 41
1
vote
0
answers
111
views
Does the order of data augmentation and normalization matter?
What is the preferred order of data augmentation and normalization? Is it the former followed by the latter?
- 11
1
vote
0
answers
41
views
Is using a filter of size (1, x, y) on a 3D convolutional layer the same as using a filter of size (x,y) on a 2D convolutional layer?
I'm trying to predict some properties of videos with Keras using the following rough architecture:
Feed each frame through the same 2-D convolutional layer.
Take the outputs of this 2-D ...
- 111
1
vote
0
answers
49
views
Wouldn't training the model with this data lead to inaccuracies since the testing data would not be normalized in a similar way?
I was trying to normalize my input data images for feeding to my convolutional neural network and wanted to use standardize my input data.
I referred to this post, which says that ...
- 11
1
vote
1
answer
111
views
Hand-Signs Recognition using Deep Learning Convolutional Neural Networks
I am developing a CNN model to recognize 24 hand-signs of American Sign Language. I have 2500 Images/hand-sign. The data split is:
Training = 1250 Images/hand-sign
Validation = 625 Images/hand-sign
...
- 51
1
vote
2
answers
94
views
CNN Pooling layers unhelpful when location important?
I'm trying to use a CNN to analyse statistical images. These images are not 'natural' images (cats, dogs, etc) but images generated by visualising a dataset. The idea is that these datasets hopefully ...
- 343