ML Blog

雕刻时光
Sculpting in time

每一个故事都有起点与终点
Every story has a beginning and an end.

1-Minute Read

In the last week, I have been optimizing the Covid-Net I developed with my thesis and other research materials to diagnose the deep learning model of Covid19, and the accuracy I got from training on 20,000+ xRay datasets is less than 90%. When the model became more and more complex, the video memory was obviously not enough, so I sold the DJI Inspire 2 and used the money I earned to buy a TITAN RTX 24G, and then continued to optimize the model and increase training. of the batch_size.

TF-MPI-Distributed-Training

Tensorflow MPI-based Distributed Training

6-Minute Read

I have written an article about how to build a distributed training cluster on Raspberry Pie 4 using the distributed training system that comes with TF2.0. However, there is a drawback: we need to start the training program at each node, and the distributed training will only work after all the nodes are started. MPI is mainly used in the field of supercomputing. Building MPI cluster on Raspberry, firstly, it can be used to learn distributed computing on supercomputing, and secondly, it can…

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不断的学习思考, 保持好奇心
Keep thinking, Stay curious
始终保持对于新事物的敏感
Always be sensitive to new things