A Comparative Study between Convolution Neural Networks and Multi-Layer Perceptron Networks for Hand-written Digits Recognition
Plant diseases are a threat to the food supply as they reduce the yield, and reduce the quality of fruits and grains. Hence, early identification and classification of plant diseases are essential. This paper aims to classify mango plant leaves into healthy and diseased using convolutional neural ne...
محفوظ في:
| المؤلف الرئيسي: | Rababaah, Aaron (author) |
|---|---|
| منشور في: |
2022
|
| الوصول للمادة أونلاين: | https://dspace.auk.edu.kw/handle/11675/9606 https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijcvr |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
A comparative study between convolution neural networks and multi-layer perceptron networks for hand-written digits recognition
حسب: Rababaah, Aaron
منشور في: (2023) -
Stereo-vision calibration by multi-layer perceptrons of an artificial neural network
حسب: Nasr, George
منشور في: (2011) -
Convolution Neural Network Model for an Intelligent Solution to Crack Detection in Pavement Images
حسب: Rababaah, Aaron
منشور في: (2022) -
Deep Learning of Human Posture Image Classification using Convolutional Neural Networks
حسب: Rababaah, Aaron
منشور في: (2022) -
A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network
حسب: Xiaofang Pan (1895950)
منشور في: (2019)