Evaluating and Improving Large-Scale Machine Learning Frameworks
Evaluating and Improving Large-Scale Machine Learning Frameworks
D. Graur
2019 · DOI: 10.3929/ethz-b-000372379
0 Citations
TLDR
This thesis seeks to find the answers to these aforementioned issues, and provide evidence of the strategies’ limitations and the root causes behind them, by looking into particular implementations of the Strategies within the TensorFlow and Caffe2 frameworks.