#deep-learning

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

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

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...

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...

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

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