Saif GazaliCell Nuclei Segmentation using VGG16-UNET And Double-UNETImage Segmentation is the process of dividing an image into segments in order to make use of important segments for processing the image…9 min read·Aug 14, 2021----
Saif GazaliRetina Blood Vessel Segmentation using VGG16-UNETThis is a continuation from the previous post.3 min read·Aug 14, 2021----
Saif GazaliRetina Blood Vessel Segmentation using UNETImage Segmentation is the process of dividing an image into segments in order to make use of important segments for processing the image…8 min read·Aug 14, 2021----
Saif GazaliCycle GAN ArchitectureImage-To-Image translation is the process of conversion of source image to target image. It requires specialized models and custom loss…5 min read·Aug 8, 2021----
Saif GazaliPix2Pix GAN ArchitectureThe conversion of source image to target image is known as Image-to-Image translation. It requires specialized models and custom loss…4 min read·Aug 7, 2021----
Saif GazaliSemi-Supervised GAN for MNIST Handwritten DigitsSemi-Supervised GAN involves training of a supervised discriminator, unsupervised discriminator and a generator model simultaneously. It…8 min read·Aug 5, 2021----
Saif GazaliAuxiliary GAN for MNIST Handwritten DigitsGenerative Adversarial networks train deep convolutional neural networks for generating images. GAN requires a discriminator model for…7 min read·Aug 4, 2021----
Saif GazaliConditional GAN for MNIST Handwritten DigitsGenerative Adversarial Networks includes a generator model which is capable of generating new plausible fake samples that can be considered…7 min read·Aug 3, 2021----
Saif GazaliDeep Convolutional GAN for MNIST Handwritten digitsGenerative Adversarial networks train deep convolutional neural networks for generating images. GAN requires a discriminator model for…8 min read·Aug 1, 2021----
Saif Gazali1D GAN for Sine Wave functionGenerative Adversarial Networks includes a generator model which is capable of generating new plausible fake samples that can be considered…6 min read·Aug 1, 2021----