Science & Tech
Unveiling Bharat's tech-driven evolution in Science & Technology
All About CapsNet
A capsule network is a neural network architecture developed by Stanford scientist Geoffrey Hinton. In the capsule network, a distinct...
Fully Connected Layers in Convolutional Neural Networks
Fully connected layers are an essential component of Convolutional Neural Networks (CNNs), which have been proven very successful in recognizing...
Generative Adversarial Networks
The world around us is full of detail, and we intuitively understand the difference between natural and fake objects. The...
Perceptrons and Multi-Layer Perceptrons
The perceptron is the basic unit powering what is today known as deep learning. It is the artificial neuron that,...
Faster R-CNN: Objects Detection Without Slowness
Advances in the field of computer vision have been spearheaded by the adoption of Convolutional Neural Networks (CNNs). There are a...
Sentence Classification using Convolutional Neural Networks
Convolutional Neural Networks (CNNs) were originally designed for deep learning computer vision tasks, but they have proven highly useful for Natural...
Graph Convolutional Networks
A Graph Neural Network, also known as a Graph Convolutional Network (GCN), is an image classification method. In this article,...
3D CNN and Its Uses
There are several types of Convolutional Neural Networks (CNNs) being developed and all have the potential to greatly contribute to...
6 types of Classification Algorithms
There are many effective ways to automatically classify entities. In this article, we cover six common classification algorithms, of which...
Backpropagation in Neural Networks
Backpropagation is a basic concept in modern neural network training. In real-world projects, you will not perform backpropagation yourself, as...
Do not be led by others,
awaken your own mind,
amass your own experience,
and decide for yourself your own path - Atharv Ved