liujinTyler

Andrew-Ng-Deep-Learning-notes

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

electricity_price_prediction

Evaluation of deep learning architectures for short-term price forecasting in the Spanish electricity market

liujin.github.io

Micro-Expression-with-Deep-Learning

Experimentation of deep learning on the subjects of micro-expression spotting and recognition.

Short-Term-Electricity-Price-Forecasting-at-the-Polish-Power-Exchange-Day-Ahead-Market

Applied time series forecasting using machine learning.

vision

Datasets, Transforms and Models specific to Computer Vision