PyTorch Embeddings Layers Explained (6.4)

Explore how PyTorch embedding layers convert words into numerical representations in neural networks. πŸ€–

PyTorch Embeddings Layers Explained (6.4)
Jeff Heaton
10.1K views β€’ Sep 6, 2023
PyTorch Embeddings Layers Explained (6.4)

About this video

In this video we're embarking on a deep-dive into the heart of neural networks: the embedding layers. If you've ever pondered how words morph into numbers, or how we capture the essence of language in a machine-learnable format, this video is your gateway! Together, we'll explore the intricacies of PyTorch's embedding layers and walk you through the step-by-step process of training them for diverse NLP tasks. Whether you're just starting your NLP journey or looking to refine your toolkit.

Code for This Video:
https://github.com/jeffheaton/app_deep_learning/blob/main/t81_558_class_06_4_embedding.ipynb

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#PyTorchEmbeddings #NLPDeepDive #WordToVector #EmbeddingLayers #TrainingEmbeddings #PyTorchTutorial #NLPinPyTorch #MachineLearningMagic #TransformingText #NeuralNetworkBasics

Video Information

Views

10.1K

Likes

228

Duration

4:37

Published

Sep 6, 2023

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