Science & Tech
Unveiling Bharat's tech-driven evolution in Science & Technology
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...
Deep Learning for Instance Segmentation
Many of the companies rely on image segmentation techniques powered by Convolutional Neural Networks (CNNs), which form the basis of deep...
7 Types of Neural Network Activation Functions: How to Choose?
Neural network activation functions are a crucial component of deep learning. Activation functions determine the output of a deep learning...
Neural Network Bias
Neural networks are mathematical constructs that generate predictions for complex problems. The basic unit of a neural network is a...
Neural Networks for Image Recognition: Methods, Best Practices, Applications
Image recognition uses artificial intelligence technology to automatically identify objects, people, places and actions in images
Basics of Neural Networks
Perceptron A perceptron is a binary classification algorithm modeled after the functioning of the human brain—it was intended to emulate...
Exploring Artificial Neural Networks and Deep Neural Networks
What are Artificial Neural Networks and Deep Neural Networks? Artificial Neural Networks (ANN) is a supervised learning system built of...
U-Net for Semantic Segmentation
As the field of computer vision grows, increasingly efficient tools are being built to more finely parse visual information. Deep learning...
Convolutional Neural Network Architecture
Advances in AI and deep learning have enabled the rapid evolution in the fields of computer vision and image analysis....
An Introduction to Transfer Learning
As we strive to create machines that can handle complex tasks, deep learning is increasingly coming into the spotlight. Because...
Do not be led by others,
awaken your own mind,
amass your own experience,
and decide for yourself your own path - Atharv Ved