Neural Networks jobs

BIGAN is a GAN that uses an auto-encoder as the discriminator. with a simple yet robust architecture, standard training procedure with fast and stable convergence. In this work, we propose a hierarchical BIGANs architecture, because GAN has a perceptual loss function (THE DISCRIMINATOR). The discriminator itself has binary cross entropy as its loss function. Which cannot take perceptual informa...

Semi-supervised Learning. Semi-supervised learning is a long-standing and important problem in Machine Learning. One of the main goals of generative modeling is to discover useful representations that can be used in the downstream tasks such as semi-supervised learning. The second problem is that these models tend to use all their capacity to capture the low-level pixel statistics, and hence the g...

There are 30 satellite pictures of houses and 25 corresponding labels that indicate the roofs. Take those 25 data points and train a neural network on them Please evaluate your network on the 5 remaining test images by making predictions of the roofs. I need it done asap.

we need some one help us to do a code for color change detection in image using CNN ... but the problem that the data set is not available ... it must be 200 image ...100 for training and 100 for testing.... the image must be from social platform

I need a people counter, which will use neural network and a raspberry pi3 as hardware. I already have several neural network training images and videos from the site for the detection tests.

Semi-supervised Learning. Semi-supervised learning is a long-standing and important problem in Machine Learning. One of the main goals of generative modeling is to discover useful representations that can be used in the downstream tasks such as semi-supervised learning. The second problem is that these models tend to use all their capacity to capture the low-level pixel statistics, and hence the g...