ML Systems: Motivating Dense Models
7 days ago
- #data-representation
- #deep-neural-networks
- #machine-learning
- Introduction to a series on machine learning systems focusing on deep neural models.
- Exploration of 'dense' in the context of deep neural networks and human-interpretable data.
- Discussion on continuous data representation in spatial, temporal, and syntactic relationships.
- Explanation of encoding audio, images, and text into mathematical structures like vectors and matrices.
- Introduction to tensors as a generalization for multi-dimensional data representation.
- Comparison between dense and sparse tensors in data encoding and computational efficiency.
- Role of GPUs in efficiently processing dense data operations, especially in deep learning models like AlexNet.
- Connection between GPU capabilities and the needs of dense neural network operations.