Convolution Neural Network
Convolution Neural Network (CNN) is a sophisticated deep learning algorithm that works best with images. It classifies images based on their various features. Because it is a deep learning algorithm, it can learn and implement at various stages of training.
Understanding of Convolutional Neural Network
By Tashmit
● Published At Dec 2021
The objective of this blog is to understand the Convolution Neural Network.... Keep reading ..
Convolution Layer
By Akshat Chaturvedi
● Published At Mar 2022
In this blog, we’ll see what convolution is and how to build a simple convolutional neural network to classify MNIST Digits.... Keep reading ..
Convolution layer, Padding, Stride, and Pooling in CNN
By Tashmit
● Published At Dec 2021
The objective of this blog is to understand various layers of Convolution Neural Networks.... Keep reading ..
Convolutional Neural Network:  What makes it so good for Image Learning.
By Arun Nawani
● Published At Jan 2022
This blog gives a high-level insight into Convolutional Neural Networks and what makes them so suitable for computer vision. ... Keep reading ..
Convolutional Neural Network in Keras
By Rajkeshav
● Published At Dec 2021
In this blog, we will see the implementation of Convolutional neural networks using Keras.... Keep reading ..
Data Augmentation
By Mandla Dharani
● Published At Jan 2022
In this blog, we discussed data augmentation, sample model, horizontal and vertical augmentation followed by brightness augmentation. ... Keep reading ..
Image Data Augmentation
By Akshat Chaturvedi
● Published At Feb 2022
In this blog, we’ll learn what Image Augmentation is, why do we need it, and the techniques in Image Augmentation.... Keep reading ..
AlexNet
By soham Medewar
● Published At Jan 2022
In this article, we will learn about the architecture of the AlexNet with implementation. Important terminologies that are needed to build the AlexNet architecture.... Keep reading ..
ZFNet
By Mohammad Yawar
● Published At Jun 2022
This blog focuses on the approach and architecture of ZFNet ... Keep reading ..
VGG Network
By Priyanshu Sharma
● Published At Jun 2022
VGG, a classic convolutional neural network (CNN) architecture discussed in this blog.... Keep reading ..
ResNet Architecture
By Md Yawar
● Published At Jun 2022
This article focuses on the concept, need, and implementation of ResNet... Keep reading ..
GoogLeNet Model
By Akshat Chaturvedi
● Published At Feb 2022
In this blog, we’ll learn the GoogLeNet model, its architecture, and its advantages over similar models.... Keep reading ..
Guided Backpropagation
By soham Medewar
● Published At Jan 2022
In this article, we will discuss guided backpropagation, use of guided backpropagation along with an example and a code implementation of it.... Keep reading ..
Fooling Convolutional Neural Network
By Rajkeshav
● Published At Jan 2022
This blog will focus on the basics behind the fooling of Convolution neural networks. Let's begin.... Keep reading ..
Hands-on CNN
The theory and implementation of various Convolution Neural Network techniques have been discussed. Learn about the various applications of CNNs, as well as their implementation and operation. Create intriguing models that can be used to solve real-world problems.
Applying CNN on MNIST Dataset
By Shabeg Singh Gill
● Published At Mar 2022
In this blog post, we'll learn about the MNIST Dataset and then apply CNN on the same and observe the results. ... Keep reading ..
Gender Classification Using CNN
By Tashmit
● Published At Jun 2022
This blog uses a primary gender classification task to practically explain CNNs.... Keep reading ..
Traffic Sign Recognition using CNN
By Mayank Goyal
● Published At Feb 2022
This article will implement a Traffic Sign Recognition system using a Convolutional neural network used in self-driving cars.... Keep reading ..
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