DeepMind’s One Pass ImageNet: A New Benchmark for Resource Efficiency in Deep Learning | Synced
A DeepMind research team presents the One Pass ImageNet (OPIN) problem, designed to study the space and compute efficiency of deep learning in a streaming setting with constrained data storage and ...
Source: Synced | AI Technology & Industry Review
A DeepMind research team presents the One Pass ImageNet (OPIN) problem, designed to study the space and compute efficiency of deep learning in a streaming setting with constrained data storage and to develop model training systems where each example is passed to the system only once.