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The Ups and Downs of Probability Distributions in Deep Learning

Nov 6, 20232 min read119 views

Probability distributions are a key component of many deep learning systems. By understanding the advantages and disadvantages of using probability...

The Ups and Downs of Probability Distributions in Deep Learning

Linearity and Non-Linearity in Deep Learning: Why We Need Both

Oct 22, 20233 min read132 views

In the world of deep learning, linearity and non-linearity are fundamental concepts that allow neural networks to learn and perform complex tasks....

Linearity and Non-Linearity in Deep Learning: Why We Need Both

Why Logarithmic Functions?

Oct 20, 20234 min read129 views

Let's start by answering What is a Logarithm? Imagine you're baking cookies and the recipe calls for 8 chocolate chips. You want to know how many...

Why Logarithmic Functions?

Mastering Batch Normalization for Neural Networks

Sep 23, 20232 min read51 views

Batch normalization has become a key technique for training deep neural networks. But what exactly does it do and why is it so important? In this...

Mastering Batch Normalization for Neural Networks

This New Optimizer Called Lion Could Replace Adam as the Go-To for Training Neural Nets

Sep 17, 20232 min read185 views

Google Brain researchers have discovered a new optimization algorithm for training deep neural networks called Lion that outperforms the popular Adam...

This New Optimizer Called Lion Could Replace Adam as the Go-To for Training Neural Nets

Comprehending Deep Learning Models with Explainable AI

Aug 22, 20232 min read77 views

Introduction: Deep learning has revolutionized many fields like computer vision, natural language processing, and speech recognition. However, these...

Comprehending Deep Learning Models with Explainable AI