GPT: A Technical Training Unveiled #5 - Feedforward, Add & Norm
After the attention outputs for each head are computed, they are concatenated and then passed through a feedforward network. The Add and Norm steps involve adding the original input to the output of the attention or feedforward networks (a form of residual connection) and then normalizing the result. This helps in stabilizing the activations and aids in training deeper models.
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 #5 - Feedforward, Add & Norm 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 #5 - Feedforward, Add & Norm канала Machine Learning with Pytorch
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9 ноября 2023 г. 18:22:41
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