GPT: A Technical Training Unveiled #4 - Masked Multihead Attention
Detailed exposition of the attention mechanism with an example of key, query, and value matrices in transformer neural networks. The Multihead Attention mechanism allows the model to focus on different parts of the input sequence when producing an output sequence. The mechanism works by producing multiple sets (or "heads") of key, query, and value projections, and then combining them. For our small example, we will have 2 layers, and each layer has 2 heads of attention.
Linear Layer: https://youtu.be/QpyXyenmtTA
Layer Normalization: https://www.youtube.com/watch?v=G45TuC6zRf4
Notebook: https://github.com/abdulsalam-bande/Pytorch-Neural-Network-Modules-Explained/blob/main/Mini%20Gpt%20Pretraining.ipynb
Presentation:https://github.com/abdulsalam-bande/Pytorch-Neural-Network-Modules-Explained/blob/main/Mini%20Gpt.pdf
Видео GPT: A Technical Training Unveiled #4 - Masked Multihead Attention канала Machine Learning with Pytorch
Linear Layer: https://youtu.be/QpyXyenmtTA
Layer Normalization: https://www.youtube.com/watch?v=G45TuC6zRf4
Notebook: https://github.com/abdulsalam-bande/Pytorch-Neural-Network-Modules-Explained/blob/main/Mini%20Gpt%20Pretraining.ipynb
Presentation:https://github.com/abdulsalam-bande/Pytorch-Neural-Network-Modules-Explained/blob/main/Mini%20Gpt.pdf
Видео GPT: A Technical Training Unveiled #4 - Masked Multihead Attention канала Machine Learning with Pytorch
Показать
Комментарии отсутствуют
Информация о видео
9 ноября 2023 г. 15:34:26
00:15:38
Другие видео канала
torch.nn.TransformerEncoderLayer - Part 3 - Transformer Layer Normalization
GPT: A Technical Training Unveiled #6 - Block Two of Transform Decoder
GPT: A Technical Training Unveiled #7 - Final Linear Layer and Softmax
Pytorch Backpropagation With Example 01 - Forward-propagation
torch.nn.TransformerDecoderLayer - Part 4 - Multiple Linear Layers and Normalization
torch.nn.TransformerEncoderLayer - Part 5 - Transformer Encoder Second Layer Normalization
torch.nn.TransformerDecoderLayer - Part 2 - Embedding, First Multi-Head attention and Normalization
GPT: A Technical Training Unveiled #2 - Tokenization
Pytorch Backpropagation With Example 02 - Backpropagation
torch.nn.TransformerDecoderLayer - Part 3 -Multi-Head attention and Normalization
Pytorch Backpropagation with Example 03 - Gradient Descent
nn.TransformerDecoderLayer - Overview
torch.nn.TransformerEncoderLayer - Part 4 - Transformer Encoder Fully Connected Layers
GPT: A Technical Training Unveiled #1 - Introduction
torch.distributions.poisson.Poisson - Poisson Distribution Guided Synthetic Data Generation
GPT: A Technical Training Unveiled #5 - Feedforward, Add & Norm
torch.nn.TransformerEncoderLayer - Part 0 - Module Overview
Self Attention with torch.nn.MultiheadAttention Module
torch.nn.Dropout exaplained
torch.nn.TransformerEncoderLayer - Part 2 - Transformer Self Attention Layer
torch.nn.Embedding - How embedding weights are updated in Backpropagation