torch.nn.TransformerEncoderLayer - Part 5 - Transformer Encoder Second Layer Normalization
This video shows how the Transformer Encoder Layer Normalization works. This is the layer immediately after the Attention Layer and the Positional Encoding Layer.
0:00 Transformer Layer Normalization Equation
1:56 Expected Value
2:46 Variance
torch version - 1.10.0
Видео torch.nn.TransformerEncoderLayer - Part 5 - Transformer Encoder Second Layer Normalization канала Machine Learning with Pytorch
0:00 Transformer Layer Normalization Equation
1:56 Expected Value
2:46 Variance
torch version - 1.10.0
Видео torch.nn.TransformerEncoderLayer - Part 5 - Transformer Encoder Second Layer Normalization канала Machine Learning with Pytorch
Показать
Комментарии отсутствуют
Информация о видео
26 января 2022 г. 2:00:13
00:05:12
Другие видео канала
torch.nn.TransformerEncoderLayer - Part 3 - Transformer Layer NormalizationGPT: A Technical Training Unveiled #6 - Block Two of Transform DecoderGPT: A Technical Training Unveiled #7 - Final Linear Layer and SoftmaxPytorch Backpropagation With Example 01 - Forward-propagationtorch.nn.TransformerDecoderLayer - Part 4 - Multiple Linear Layers and Normalizationtorch.nn.TransformerDecoderLayer - Part 2 - Embedding, First Multi-Head attention and NormalizationGPT: A Technical Training Unveiled #2 - TokenizationPytorch Backpropagation With Example 02 - Backpropagationtorch.nn.TransformerDecoderLayer - Part 3 -Multi-Head attention and NormalizationPytorch Backpropagation with Example 03 - Gradient Descentnn.TransformerDecoderLayer - Overviewtorch.nn.TransformerEncoderLayer - Part 4 - Transformer Encoder Fully Connected LayersGPT: A Technical Training Unveiled #1 - Introductiontorch.distributions.poisson.Poisson - Poisson Distribution Guided Synthetic Data GenerationGPT: A Technical Training Unveiled #5 - Feedforward, Add & Normtorch.nn.TransformerEncoderLayer - Part 0 - Module OverviewSelf Attention with torch.nn.MultiheadAttention Moduletorch.nn.Dropout exaplainedtorch.nn.TransformerEncoderLayer - Part 2 - Transformer Self Attention Layertorch.nn.Embedding - How embedding weights are updated in Backpropagation