Deep Learning

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
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
generating data
Deep LearningGenerative AI

Understanding Generative Models and Applications

Generative Models are a form of unsupervised learning models and the outcome goal is to generate new data points by…

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

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

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Implement Non-linear Independent Components Estimation with Tensorflow

Non-linear Independent Components Estimation is a normalizing flow-based generative model which is…

Sandeep Kumar
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Generative Adversarial Network
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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
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