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Let's discuss batch normalization, otherwise known as batch norm, and show how it applies to training artificial neural networks.
263,809 views
7 years ago
Welcome to our tutorial on batch normalization in PyTorch, a transformative technique that has become a standard in training ...
3,169 views
2 years ago
In this video, we will learn about Batch Normalization. Batch Normalization is a secret weapon that has the power to solve many ...
86,420 views
4 years ago
Sebastian's books: https://sebastianraschka.com/books/ Slides: ...
4,265 views
What is Batch Normalization? Why is it important in Neural networks? We get into math details too. Code in references. Follow me ...
128,616 views
5 years ago
In this episode, we're going to see how we can add batch normalization to a convolutional neural network. VIDEO ...
13,211 views
This video explains how the Batch Norm works and also how Pytorch takes care of the dimension. Having a good understanding ...
7,131 views
BatchNorm vs LayerNorm: A Comprehensive PyTorch Tutorial In this tutorial, we dive deep into two fundamental normalization ...
469 views
4 months ago
Take the Deep Learning Specialization: http://bit.ly/2x614g3 Check out all our courses: https://www.deeplearning.ai Subscribe to ...
211,872 views
8 years ago
In this video, we explain Batch Normalization, one of the most important concepts in deep learning and a frequent topic in ...
1,156 views
2 months ago
This video explains how the 2d Convolutional layer works in Pytorch and also how Pytorch takes care of the dimension. Having a ...
23,522 views
How to create a Custom Layer in PyTorch This is the follow-up to nn.Module API: https://youtu.be/UDphSBLtp1w Code: ...
4,782 views
PyTorch is THE essential deep learning library for both research and industrial projects. This comprehensive PyTorch tutorial ...
13,178 views
How do different batch sizes influence the training process of neural networks using gradient descent? Colab notebook: ...
24,550 views
3 years ago
A numerical Example of ConvTranspose2d that is usually used in Generative adversarial Nueral Networks. This video goes step ...
10,303 views
In this video I will introduce and explain quantization: we will first start with a little introduction on numerical representation of ...
47,804 views
In this video we use the network constructed in the previous video to train a neural network on the MNIST data set. The goal of this ...
28,456 views
In this video I show you 10 common Pytorch mistakes and by avoiding these you will save a lot time on debugging models.
60,345 views
Don't like the Sound Effect?:* https://youtu.be/GaLL7ZeXsWk *LLM Training Playlist:* ...
49,818 views
3 months ago
Follow along with Unit 6 in a Lightning AI Studio, an online reproducible environment created by Sebastian Raschka, that ...
443 views
Part of "Modern Deep Learning in Python" Get the full course for 80% OFF here at: ...
7,394 views
In this video, I review the different kinds of normalizations used in Deep Learning. Note, I accidentally interchange std and ...
19,084 views
You might have heard about Batch Normalization before. It is a great way to make your networks faster and better but there are ...
46,661 views
Hi and welcome back. Today, we'll discuss another popular method called batch normalization which you can use to improve the ...
1,569 views
This video explains how the LayerNorm works and also how PyTorch takes care of the dimension. Unlike BatchNorm that relies ...
1,754 views
1 year ago
In this episode, we're going to learn how to normalize a dataset. We'll see how dataset normalization is carried out in code, and ...
18,343 views
This video explains how the Batch Norm 2d works and also how Pytorch takes care of the dimension. Having a good ...
1,614 views
In this video, we dive into Batch Normalization in deep learning, unpacking not just how batch normalization works but also why it ...
3,202 views
6 months ago
Практический курс по НС: https://stepik.org/a/227582 Телеграм-канал: https://t.me/machine_learning_selfedu Инфо-сайт: ...
2,734 views
BatchNorm2d - Use the PyTorch BatchNorm2d Module to accelerate Deep Network training by reducing internal covariate shift.
