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Глубинное обучение для текстовых данных
Parameter sharing
Initializing search
Описание курса
Билеты к экзамену
Main Page
Week 02 Word Embeddings
Week 03 Text Classification
Week 04 Language Models
Week 05 Machine Translation
Week 13 Model Compression
Глубинное обучение для текстовых данных
Описание курса
Билеты к экзамену
Main Page
Week 02 Word Embeddings
Week 02 Word Embeddings
Main
Week 03 Text Classification
Week 03 Text Classification
Lec3
Week 04 Language Models
Week 04 Language Models
Main
Week 05 Machine Translation
Week 05 Machine Translation
Mail
Week 13 Model Compression
Week 13 Model Compression
Quantization
Knowledge Distillation
Parameter sharing
05 Matrix decomposition
Model compression
Neural Architecture Search (NAS)
01. Pruning
01. Pruning
01 Pruning weights
Pruning neurons
03 Block Prunning
04 Pruning heads and layers
Pruning: sparsifying weight matrice
Parameter sharing
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