normalize embeddings using nn.BatchNorm1d

0:00:21

normalize embeddings using nn.BatchNorm1d in PyTorch

0:03:36

torch.nn.BatchNorm1d Explained

0:01:56

nn.BatchNorm1d in PyTorch (mistake pointed in description)

0:03:15

pytorch nn batchnorm1d

0:03:32

nn normalize pytorch

0:00:39

represent number as vector using nn.Embedding

0:04:27

PyTorch Batch Normalization (4.4)

0:01:24

nn.LayerNorm (1)

0:05:12

torch.nn.TransformerEncoderLayer - Part 5 - Transformer Encoder Second Layer Normalization

0:02:17

nn.EmbeddingBag in PyTorch

0:03:58

torch.nn.Dropout exaplained

0:04:50

Tabular Data Analysis with Neural Networks: Predictive Modeling Tutorial

0:15:22

Pytorch for Beginners #39 | Transformer Model: Understanding BatchNorm with in-depth-details

0:07:04

Torch.nn.Linear Module explained

0:08:40

torch.nn.CosineSimilarity explained and announcement!

0:03:27

nn.LayerNorm (2) in PyTorch

0:06:46

L14.2: Spatial Dropout and BatchNorm

0:14:32

torch.nn.ConvTranspose2d Explained

0:12:32

Self Attention with torch.nn.MultiheadAttention Module

0:12:35

torch.nn fully discussed | PyTorch functions

1:52:56

Working through 'What is torch.nn really?'

1:47:34

Dmitry Kan on Neural Search Frameworks - Weaviate Podcast #34

0:45:04

Chest X-Ray Classification | Deep Learning Model | CNN with PyTorch

1:11:56

Stanford CS224N - NLP и глубокое обучение | Лекция №16 - ConvNets и TreeRNNs