Search: Keyword(s): image style transfer using convolutional neural networks github

Is this intuitive understanding of convolutional neural networks correct: 1. A convolution basically matches how similar a local part of an image is to a convolutional kernel/filter 2. The kernel/f...

Convolutional Deep Belief Networks (CDBN) vs. Convolutional Neural Networks (CNN)

Lastly, I started to learn neural networks and I would like know the difference between Convolutional Deep Belief Networks and Convolutional Networks. In here, there is a similar question but there...

Deep Belief Networks vs Convolutional Neural Networks performance on non-Image Classification Tasks

In the paper Improved Classification based on Deep Belief Networks, the authors have stated that for better classification, generative models are used to initialize the model and model features bef...

Recognizing image features regardless of their position using Convolutional Neural Networks

Let's assume you are using neural networks for image recognition and you have trained it to recognize a straight line. Every time a specific column of pixels is on, and neighbouring pixels are off...

Deep Belief Networks vs Convolutional Neural Networks

I am new to the field of neural networks and I would like to know the difference between Deep Belief Networks and Convolutional Networks. Also, is there a Deep Convolutional Network which is the

Do convolutional neural networks suffer from the vanishing gradient?

I think I read somewhere that convolutional neural networks do not suffer from the vanishing gradient problem as much as standard sigmoid neural networks with increasing number of layers. But I hav...

Ensemble Learning using Convolutional Neural Networks

I have created 22 different Convolutional neural networks that all test for the presence of unique objects in an image (each one of the classifiers is unique). Each sample in the test set has the ...

Convolutional Neural Networks - Non square inputs

I have been doing some reading on convolutional neural networks and I realized that the inputs are always squared images. So I was wondering how I can train a CNN to detect people (upright) since the

Produce Audio with Convolutional neural networks

Were there any approaches on Producing Audio with Convolutional neural networks? There are a lot of approaches on producing images through convnets. But i see no articles or posts about producing ...

How to extend neural networks api to support convolutional n.n

I'm using Encog Machine learning api and it uses a Flat implementation to optimize performance, where it assumes that there is a full connection between two layers. I want to extend it to support