In deep learning, the technique used to skip one or more layers by connecting non-adjacent layers is called _______.
- Dropout
- Batch Normalization
- Skip Connections
- Pooling
In deep learning, the technique used to skip one or more layers by connecting non-adjacent layers is called "Skip Connections." Skip connections allow the model to bypass one or more layers and facilitate the flow of information from one layer to another, helping in the training of deep neural networks.
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