Mutli-Head Attention Mechanism in PyTorch from scratch & Visualizations | Attention in PyTorch

Video Description

In this video, we are going to code multi-Head attention in PyTorch. We will visualize each and every step of the process. In this video, we are going to code Multi-Head attention from scratch in Python. We will write the code for declaring the key, query and value weights and also visualize the multiplication of the input with the query, key and value matrices. We will also see how the embed_dim will be divided into the num_heads. We will also see how the attention scores are calculated in PyTorch and then finally we will see how the final attention values are calculated. All the steps are visualized using ppt presentations. Code: https://github.com/DatumLearning/Attention-Mechanism/blob/main/multiHead_attention.ipynb