torch.nn.TransformerDecoderLayer - Part 2 - Embedding, First Multi-Head attention and Normalization Published 2023-02-17 Download video MP4 360p Recommendations 09:32 torch.nn.TransformerDecoderLayer - Part 3 -Multi-Head attention and Normalization 15:59 Multi Head Attention in Transformer Neural Networks with Code! 07:32 nn.TransformerDecoderLayer - Overview 17:28 torch.nn.Embedding - How embedding weights are updated in Backpropagation 14:06 RoPE (Rotary positional embeddings) explained: The positional workhorse of modern LLMs 15:25 Visual Guide to Transformer Neural Networks - (Episode 2) Multi-Head & Self-Attention 12:32 Self Attention with torch.nn.MultiheadAttention Module 06:49 torch.nn.Conv2d Module Explained 08:16 How To Self-Study Math 08:04 Can you find the area of the Purple shaded region? | (Step-by-step explanation) | #math #maths 09:49 Olympiad Mathematics | Can you find the Red region area? | (Simple explanation) | #math #maths 01:22 Embeddings 23:13 Relative Position Bias (+ PyTorch Implementation) 24:14 Dive into Deep Learning – Lec 6: Basics of Object-Oriented Programming in PyTorch (torch.nn.Module) 18:48 1B - Multi-Head Attention explained (Transformers) #attention #neuralnetworks #mha #deeplearning 00:38 Why Computer Science Is the Best Major? 🤑 #reels 08:28 How to Understand Math Intuitively? Similar videos 13:34 Layer Normalization - EXPLAINED (in Transformer Neural Networks) 39:54 Transformer Decoder coded from scratch 01:01 The ChatGPT Lectures: Lecture 2 - Understanding PyTorch 08:47 14 Writing Code for a PyTorch Training Loop 1:31:05 Dive into Deep Learning: Coding Session#5 Attention Mechanism II (Americas/EMEA) 04:50 PyTorch Fundamentals Exercises and Extra Curriculum | Exercises & Extra Curriculum for Deep Learning 10:36 5 Creating a Python Script to Create Our PyTorch DataLoaders 44:22 Build a Variational AutoEncoder (VAE) using PyTorch - Example using USPS dataset More results