deep learning

What Is Layer Normalization?

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What Is Layer Normalization? Layer normalization normalizes input across the features instead of normalizing input features across the batch dimension in batch normalization. … Mini-batches are matrices(or tensors) where one axis corresponds to the batch and the other axis(or axes) correspond to the feature dimensions. What is layer normalization in CNN? Layer norm normalises all

What Is Bert Fine-tuning?

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What Is Bert Fine-tuning? “BERT stands for Bidirectional Encoder Representations from Transformers. … As a result, the pre-trained BERT model can be fine-tuned with just one additional output layer to create state-of-the-art models for a wide range of NLP tasks.” That sounds way too complex as a starting point. What is fine-tuning in deep learning?