论文标题
评论：电子显微镜中的深度学习
Review: Deep Learning in Electron Microscopy
论文作者
论文摘要
深度学习正在改变包括电子显微镜在内的大多数科学和技术领域。这篇评论论文提供了针对熟悉程度有限的开发人员的实用观点。在上下文中，我们回顾了电子显微镜中深度学习的流行应用。之后，我们讨论了需要进行深度学习和与电子显微镜接口的硬件和软件。然后，我们回顾神经网络组件，流行体系结构及其优化。最后，我们讨论了电子显微镜中深度学习的未来方向。
Deep learning is transforming most areas of science and technology, including electron microscopy. This review paper offers a practical perspective aimed at developers with limited familiarity. For context, we review popular applications of deep learning in electron microscopy. Afterwards, we discuss hardware and software needed to get started with deep learning and interface with electron microscopes. We then review neural network components, popular architectures, and their optimization. Finally, we discuss future directions of deep learning in electron microscopy.
