ResNet (34, 50, 101): Residual CNNs for Image Classification Tasks

23 January 2019
resnet

ResNet (34, 50, 101): Residual CNNs for Image Classification Tasks

ResNet is a short name for a residual network, but what’s residual learning? Deep convolutional neural networks have achieved the human level image classification result. Deep networks extract low, middle…

R-CNN – Neural Network for Object Detection and Semantic Segmentation

29 November 2018
r-cnn object detection

R-CNN – Neural Network for Object Detection and Semantic Segmentation

Computer vision is an interdisciplinary field that has been gaining huge amounts of traction in recent years (since CNN), and self-driving cars have taken center stage. One of the most…

Pix2Pix – Image-to-Image Translation Neural Network

27 November 2018
pix2pix network

Pix2Pix – Image-to-Image Translation Neural Network

Pix2pix architecture was presented in 2016 by researchers from Berkeley in their work “Image-to-Image Translation with Conditional Adversarial Networks.” Most of the problems in image processing and computer vision can…

U-Net: Image Segmentation Network

23 November 2018
u-net

U-Net: Image Segmentation Network

U-Net is considered one of the standard CNN architectures for image classification tasks, when we need not only to define the whole image by its class but also to segment areas of…

VGG16 – Convolutional Network for Classification and Detection

20 November 2018
vgg16

VGG16 – Convolutional Network for Classification and Detection

VGG16 is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper “Very Deep Convolutional Networks for Large-Scale Image Recognition”.…

AlexNet – ImageNet Classification with Deep Convolutional Neural Networks

29 October 2018

AlexNet – ImageNet Classification with Deep Convolutional Neural Networks

AlexNet is the name of a convolutional neural network which has had a large impact on the field of machine learning, specifically in the application of deep learning to machine vision. It famously won the…