Do, Just 1 more round
KEEP Fighting!
GCN is Graph Convolutional Network, a newly developed deep learning framework combining the advantages of traditional CNN and graph-based representation learning.
It is important for us to understand the efficiency of those basic Python data structures (string, list, tuple, dictionary, …) because they are the building blocks we will use as we implement other advanced data structures.
Review the basic data structures implemented in Python, which includes:
PyTorch is an open-source Python library for deep learning developed by Facebook AI Research (FAIR). The installation is very simple, as instructed in Installation. TorchVision is a powerful package consists of popular datasets, model architectures, and common image transformations for computer vision.
Schrodinger Eigenmaps is built upon Laplacian Eigenmaps, which can be applied for target detection scenario.
Graph theory is an interesting topic and a powerful tool for tackling non-Euclidean data, such as social networks, molecular structures, telecommunication networks, and traffic networks. These kind of data are of unregular non-grid structure, which can be represented more effectively by graph.
I’m very happy to re-create my Blog website in MacBook Pro, start it and I’m on my way……
Steps:
Install Node.js and Git, following https://hexo.io/docs, setup video is very clear and helpful;
Run command in terminal to check if Node.js and Git installed well:
耐得住寂寞,才能开得出花,有音乐流淌在耳边,有阳光从右边窗外暖暖的洒进来,宁静的生活让我一下有种梦幻的感觉,窗外是恬静的美式田园…
今天是7月13日,很开心我的Blog解决了中文乱码的问题,开始写中文的心情随笔,伴着即将启程的远行,为自己加油,为家人祝福…!
我们都要坚强,生活中苦真的多于甜,但是阳光却总多于阴雨,心的明亮能点亮一切希望,为了新的明天,加油 ~ KEEP Fighting!