一次最多生成 12 张风格一致的图片，支持最多 9 张参考图输入。做系列海报、产品多角度图、故事连续画面时不用一张一张调。

先在 Evernote 中選擇需要的筆記、記事本，匯出成 enex 檔案。

AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.

Mean-field Analysis of Batch Normalization

Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise

LocalNorm: Robust Image Classification through Dynamically Regularized Normalization

Fixup Initialization: Residual Learning Without Normalization

Generalized Batch Normalization: Towards Accelerating Deep Neural Networks

How Does Batch Normalization Help Optimization? (No, It Is Not About Internal Covariate Shift)

Revisiting Small Batch Training for Deep Neural Networks

Don't Use Large Mini-Batches, Use Local SGD

Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks

Combining data from multiple RNASeq experiments: release the Kruskal! (...Wallis test)

Batch Editing and Updating