ViewTube

You might have heard about Batch Normalization before. It is a great way to make your networks faster and better but there are ...

Lets talk about Layer Normalization in Transformer Neural Networks! ABOUT ME ⭕ Subscribe: ...

Timestamps: 0:00 Intro 0:25 Why normalization is needed? 1:58 What is normalization? 3:47 Internal Covariate Shift 6:20 Batch ...

Layer Normalization is a technique used to stabilize and accelerate the training of transformers by normalizing the inputs across ...

Experience Layer Normalization like never before — through animated storytelling! Whether you're a beginner stepping into deep ...

In this video, we will learn about Batch Normalization. Batch Normalization is a secret weapon that has the power to solve many ...

In this lecture, we learn about an important component of the LLM architecture: Layer Normalization We understand what exactly ...

Take the Deep Learning Specialization: http://bit.ly/2PGrI5o Check out all our courses: https://www.deeplearning.ai Subscribe to ...

Let's understand feature scaling and the differences between standardization and normalization in great detail. #machinelearning ...

layernorm Welcome to another Deep Learning breakdown — where we make the complex simple! In this video, we dive into ...

Discover the power of residual connections and layer normalization in this comprehensive tutorial! Uncover how these essential ...

Transformers are the rage nowadays, but how do they work? This video demystifies the novel neural network architecture with ...

In this live-coding session, machine learning expert @SebastianRaschka explains and implements layer normalization—a crucial ...

Take the Deep Learning Specialization: http://bit.ly/2x614g3 Check out all our courses: https://www.deeplearning.ai Subscribe to ...

Let's discuss batch normalization, otherwise known as batch norm, and show how it applies to training artificial neural networks.

This video talks about layer normalization, why it is required and how it is different from batch normalization in deep neural ...

Layer normalization (LN) is a ubiquitous technique in deep learning but our theoretical understanding to it remains elusive.

The dirty little secret of Batch Normalization is its intrinsic dependence on the training batch size. Group Normalization attempts to ...

As a regular normal SWE, want to share several key topics to better understand Transformer, the architecture that changed the ...