All Questions
5 questions with no upvoted or accepted answers
4
votes
0
answers
449
views
Spatial Transformer Networks and Data Augmentation
We are all familiar with the famous Deep Mind paper STN.
Upon implementation, such as here, did anyone still use input data augementation such as affine transformations?
There are used to make CNN ...
- 273
2
votes
3
answers
382
views
Can the same CNN architecture be used for different data sets?
I have a CNN architecture that works well on 32x32x3 images. Can I use that same architecture for a data set made up of 28x28x1 images? (Both data sets have 10 classes). If this is possible, what ...
- 21
1
vote
0
answers
65
views
Denoising Prior to Image Classification
From what I have read, Denoising during preprocessing for image classification tasks seems to be a bit controversial.
While on one hand it might improve classification accuracy, the computational ...
- 123
1
vote
0
answers
869
views
Examples for multi-input Convolutional Neural Network
I want to create a multi inputs Convolutional Neural Network (cnn) that takes two inputs and produces one output of the inputs class by using Keras. I searched for resources that explain multi inputs ...
- 2,015
0
votes
1
answer
240
views
the size of training data set in the context of computer vision
Generally speaking, for training a machine learning model, the size of training data set should be bigger than the number of predictors. For a neural network, or even a deep learning model, the number ...
- 157