Linked Questions

10
votes
2answers
13k views

Does it make sense to train a CNN as an autoencoder?

I work with analyzing EEG data, which will eventually need to be classified. However, obtaining labels for the recordings is somewhat expensive, which has led me to consider unsupervised approaches, ...
5
votes
1answer
5k views

What is fractionally-strided convolution layer?

In paper Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs, in Section 3.4, it said Since, the aim of this work is to estimate high-resolution and high-quality density maps,...
3
votes
2answers
7k views

How does strided deconvolution works?

I am trying to understand how the shape of the image changes after deconvolution ? I am trying to understand the example code of convolutional autoencoder from neon. ...
0
votes
1answer
3k views

I still don't know how deconvolution works after watching CS231 lecture, I need help

https://www.youtube.com/watch?v=ByjaPdWXKJ4 This is the time-stamped video of "deconvolution". I can understand normal convolution but not so much with upsampling convolution. In the video he ...
1
vote
1answer
1k views

Using deconvolution in practice

Suppose that I have an input image with 224 * 224 * 3 dimensions. I pass it through a convolution layer with 64 filters and same convolution operation. Suppose that I want to reconstruct the original ...
1
vote
2answers
862 views

GAN with Conv2D using TensorFlow - Shape error

I want to use TensorFlow to create a GAN. I have managed to create these parts of code. My images are of shape [299, 299, 3] because I took some images and resized them using TensorFlow and saves them ...
3
votes
1answer
411 views

How to implement a convolutional autoencoder?

I would like to implement a convolutional autoencoder in Tensorflow, but it is not clear how the decoder part should work. Each layer of the encoding, is a convolutional layer with activation ...
1
vote
0answers
365 views

Transpose convolution math not working out

I was reading A Guide to Convolutional Arithmetic to understand Transpose Convolution as it is cited in Keras and Theano documentation. I am having trouble understanding the following two statements : ...
2
votes
0answers
68 views

Keras: DepthwiseConv3DTranspose or doing transposed Conv. with a Conv. layer

I am building an autoencoder for 3D images and would like to use Depthwise convolutions. For the encoder, I found an implementation of a depthwise 3D convolutional layer (DepthwiseConv3D). For the ...
1
vote
0answers
29 views

There are 2 figures explaining transposed convolution. Which one is correct?

I have been struggling to understand transposed convolution. When I search for "transposed convolution", there are 2 figures explaining transposed convolution in which I think are not ...