Deep Learning

Artificial Neural network
Artificial IntelligenceDeep Learning

Comparison of Sigmoid, Tanh and ReLU Activation Functions

Introduction In Artificial Neural network (ANN), activation functions are the most informative ingredient of Deep Learning which is fundamentally used for…

Sandeep Kumar
Sandeep Kumar
Non-Linear Independent Components Estimation
Deep LearningTensorFlow

Implement Non-linear Independent Components Estimation with Tensorflow

Non-linear Independent Components Estimation is a normalizing flow-based generative model which is used to learn the probability distribution of the…

Sandeep Kumar
Sandeep Kumar
Generative Adversarial Network
Machine LearningDeep Learning

Basics of Generative Adversarial Network Model

Generative Adversarial Network a.k.a GANs is a generative model which is used to generate new samples using training data. The…

Sandeep Kumar
Sandeep Kumar
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What Is Artificial General Intelligence
AGI

What Is Artificial General Intelligence? Full Guide 2026

Every time a new model launches, someone calls it "basically AGI." That…

Sandeep Kumar
Sandeep Kumar
The Role of Mathematics in Becoming a Deep Learning Engineer
AI Engineering

The Role of Mathematics in Becoming a Deep Learning Engineer

Artificial Intelligence (AI) is no longer a futuristic experiment confined to research…

Sandeep Kumar
Sandeep Kumar
Generative Adversarial Network
computer vision

How to Program Generative Adversarial Network with Tensorflow 2.0

This guide is a hands-on tutorial to program a generative adversarial network…

Sandeep Kumar
Sandeep Kumar
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