Last updated: Feb 7, 2022

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

The objective of this blog is to understand the Convolution Neural Network.

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Padding in Convolutional Neural Network MEDIUM

This article discusses the padding in convolutional neural network in detail. It also discusses the need for padding and its use cases.

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Convolution Layer

In this blog, we’ll see what convolution is and how to build a simple convolutional neural network to classify MNIST Digits.

Author Chaturvedi

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Stride in Convolutional Neural Network (CNN) MEDIUM

Discover how stride impacts convolutional neural networks (CNNs). This article will cover topics like Stride in convolutional neural network, differences between stride and padding, and the effects of stride.

Author yesdhruv

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Pooling Layer in Convolutional Neural Network MEDIUM

This article discusses the Pooling Layer in Convolutional Neural Networks.

Author Abhinav Anand

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Convolution layer, Padding, Stride, and Pooling in CNN

The objective of this blog is to understand various layers of Convolution Neural Networks.

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Data Augmentation

In this blog, we discussed data augmentation, sample model, horizontal and vertical augmentation followed by brightness augmentation.

Author Mandla Dharani

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Softmax and Cross-Entropy EASY

This article will study softmax function and cross-entropy with their implementation. Further, we will see why cross-entropy is used with the softmax function.

Author Mayank Goyal

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VGG-16 - CNN Model EASY

This blog will provide you with an overview of the VGG-16 and illustrate it using an object detection use case. Explore vgg16 architecture with its implementations.

Author Md Yawar

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In this article, we will learn about the architecture of the AlexNet with implementation. Important terminologies that are needed to build the AlexNet architecture.

Author soham Medewar

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Classic ConvNet Architectures HARD

This article discusses the different Classic ConvNet architectures with detailed explanations.

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This blog focuses on the approach and architecture of ZFNet

Author Mohammad Yawar

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VGG Network EASY

VGG, a classic convolutional neural network (CNN) architecture discussed in this blog.

Author Priyanshu Sharma

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This blog aims to explain what inceptionNet is and elucidate the evolution of its versions.

Author Md Yawar

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ResNet Architecture EASY

This article focuses on the concept, need, architecture, and implementation of ResNet.

Author Md Yawar

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GoogLeNet Model EASY

This article discusses googlenet architecture, features of google net architecture, and advantages of google net with faqs.

Author Chaturvedi

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Visualizing Convolutional Neural Networks with Filters

This blog explains the convolutional neural network. In detail, we will discuss how to enter visualizations in CNN, visualize convolutional layers, pre-fit the VGG model, how to visualize filters, and many more.

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Guided Backpropagation

In this article, we will discuss guided backpropagation, use of guided backpropagation along with an example and a code implementation of it.

Author soham Medewar

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Fooling Convolutional Neural Network

This blog will focus on the basics behind the fooling of Convolution neural networks. Let's begin.

Author Rajkeshav

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Dense In Deep Learning EASY

This article will focus on the denser layer in neural networks, different hyperparameters of Keras dense layer, and finally, a basic implementation.

Author Mayank Goyal

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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

In this blog post, we'll learn about the MNIST Dataset and then apply CNN on the same and observe the results.

Author Shabeg Singh Gill

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Gender Classification Using CNN

This blog uses a primary gender classification task to practically explain CNNs.

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