Cnn

The Vision Transformer (ViT) has gained huge popularity ever since its publication and showed great potential over CNN-based models such as ResNet. But why is the Vision Transformer better than the CNN models? One recent publication, Do Vision Transformers See Like Convolutional Neural Networks? …

Evrişimli Sinir Ağları Görüntü işlemeye hızlı giriş! Görüntü İşleme Temelleri Bir görüntü temel olarak parlaklık değerlerinin 2 boyutlu arrayidir.

It’s more than just image segmentation — Using the best image segmentation model for instance segmentation to detect damaged areas on cars is not new and has been done before and here I’m also doing the same thing but with an extension of estimating repair costs. Therefore I intend to visit the instance segmentation part in brief…

by Shashank Pandey There have been a lot of attempts to combine CNN and RNN for image based sequence recognition or video classification tasks. LRCN was proposed by Jeff Donhue in 2016. It is a combination of both RNN and CNN, end-to-end trainable and suitable for large-scale visual understanding tasks…

Hello everyone! I’m Nethmi Nikeshala Thathsarani. First I’d like to say that “always try to be your best version”. Today I hope to discuss about ways of building convolutional neural network using TensorFlow-Keras. Ok, now; turn to the topic and Let’s first discuss Convolutional Neural Network. Convolutional Neural Network (CNN) For its great performance…

Why would you use an application to tell you what is the dog breed in the picture? mmmm simply you might not know except it’s a dog! [Problem Statement] Overview: Let a technology helps you through Deep Learning most helpful algorithms such as Convolutional Neural Network CNN. In this project…

Introduction: The revolutionization of the technology behind optical character recognition (OCR) has helped it to become one of those technologies that have found plenty of uses in the entire industrial space. Today, the OCR is available for several languages and have the capability to recognize the characters in real time, but…

Handwritten digit or MNIST digit recognition program is the ‘HELLO WORLD’ program of CNN. This is a very good start for CNN learning. About the MNIST Dataset : MNIST Dataset consists of 70,000 small images of digits handwritten by high school students and employees of the US Census Bureau. Among 70,000 images, there 60,000 training…