来自MSN

Image Classification With Cnns In Keras — Full Code Walkthrough

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 ...
Frontiers

Deep learning-based classification of eye diseases using Convolutional Neural Network for ...

Deep learning shows promising results in extracting useful information from medical images. The proposed work applies a Convolutional Neural Network (CNN) on retinal images to extract features that ...
GitHub

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector ...

This project was inspired by Y. Tang's Deep Learning using Linear Support Vector Machines (2013). The full paper on this project may be read at arXiv.org. The experiments were conducted on a laptop ...
GitHub

Classification of object in a specific image region using a convolutional neural net with ...

Given an image and region of interest (ROI) mask as input, the net classifies the region of the image marked in the mask. Figure 1. Segment-specific Classification using CNN For example, in Figure 1 ...
Frontiers

Wheat Spike Blast Image Classification Using Deep Convolutional Neural Networks

Wheat blast is a threat to global wheat production, and limited blast-resistant cultivars are available. The current estimations of wheat spike blast severity rely on human assessments, but this ...
IEEE

HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification is widely used for the analysis of remotely sensed images. Hyperspectral imagery includes varying bands of images. Convolutional neural network (CNN) ...