Questions tagged [2d-convolution]
6 questions
5
votes
2 answers
How is the depth of the input related to the depth of the output of a convolutional layer?
Let's suppose I have an image with 16 channels that goes to a convolutional layer, which has 3 trainable $7 \times 7$ filters, so the output of this layer has depth 3.
How does the convolutional layer go from 16 to 3 channels? What mathematical…
Du Bois Eloi
- 53
- 4
1
vote
1 answer
Why is the convolution layer called Conv2D?
When I build a convolution layer for image processing, the filter parameters should have 3 dimensions, (filter_length, filter_width, color_depth) is that correct?
Why is this convolution layer called Conv2D? Where does the 2 come from?
o_yeah
- 197
- 1
- 7
0
votes
0 answers
What's the simplest deep learning approach in signal processing? A 1D CNN?
I have a three datasets each containing one signal of a specific type (normal, periodically jammed, constantly jammed). I would like to experiment with this dataset to predict wether a signal is normal or if being jammed, the type. Fot this…
AnneBlue
- 1
- 1
0
votes
1 answer
Reconstructing 3D models from 2D images using autoencoders
I went through a research paper ("Voxel-Based 3D Object Reconstruction from Single 2D Image Using Variational Autoencoders") and tried to implement the approach following this diagram:
arizona_3
- 1
- 1
0
votes
0 answers
2D models on 3D tasks (convolutions): simple replace?
2D tasks enjoy a vast backing of successful models that can be reused.
For convolutions, can one simply replace 2D operations with 3D counterparts and inherit their benefits? Any 'extra steps' to improve the transition? Not interested in unrolling…
OverLordGoldDragon
- 158
- 6
0
votes
2 answers
What do people refer to when they use the word 'dimensionality' in the context of convolutional layer?
In practical applications, we generally talk about three types of convolution layers: 1-dimensional convolution, 2-dimensional convolution, and 3-dimensional convolution. Most popular packages like PyTorch, Keras, etc., provide Conv1d, Conv2d, and…
hanugm
- 4,102
- 3
- 29
- 63