In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...

This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...

In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...

A production-ready deep learning project for time-series image classification using EfficientNet/NFNet with PyTorch Lightning. This project implements transfer learning for multi-class classification ...

In a first-of-its-kind lawsuit, entertainment companies Disney and Universal are suing AI firm Midjourney for copyright infringement. The 110-page lawsuit, filed Wednesday in a U.S. district court in ...

Lung cancer remains a leading cause of global cancer mortality, demanding precise diagnostic tools for accurate subtype classification. This paper introduces a novel Enhanced GraphSAGE (E-GraphSAGE) ...

Abstract: The key of image recognition and classification based on machine learning is to extract image feature points effectively and classify image features correctly. In this paper, SURF ...

Abstract: Traditional joint sparse representation based hyperspectral classification methods define a local region for each pixel. Through representing the pixels within the local region ...