Pytorch Tutorial: torch.nn.Embedding скачать в хорошем качестве

Pytorch Tutorial: torch.nn.Embedding

Complete guide to torch.nn.Embedding in PyTorch - Learn everything about embedding layers from basics to advanced techniques. In this comprehensive tutorial, we explore PyTorch's Embedding module, covering architecture, parameters, training strategies, and practical examples. Perfect for NLP practitioners and deep learning enthusiasts. 📚 Chapters: 00:00 torch.nn.Embedding: Complete Guide 00:26 Architecture Overview 01:14 Basic Embedding Usage 02:56 Parameter Documentation 03:06 Padding Index Parameter 04:21 Max Norm Constraint 05:45 Different Norm Types 06:30 Training Process Visualization 06:45 Scale Gradients by Frequency 07:30 Sparse Gradients 08:50 Creating Embeddings from Pretrained Weights 09:27 Practical Example: Simple Word Embeddings 10:45 Advanced: Training Embeddings with Context 11:53 Performance Considerations 12:31 Common Pitfalls and Solutions 13:14 Summary and Best Practices