tyler's repositories
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
Language:Jupyter Notebook000
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
Language:JavaScriptGPL-3.0000
electricity_price_prediction
Evaluation of deep learning architectures for short-term price forecasting in the Spanish electricity market
Language:Jupyter Notebook000
Micro-Expression-with-Deep-Learning
Experimentation of deep learning on the subjects of micro-expression spotting and recognition.
Language:Python000
Short-Term-Electricity-Price-Forecasting-at-the-Polish-Power-Exchange-Day-Ahead-Market
Applied time series forecasting using machine learning.
Language:Jupyter NotebookGPL-3.0000
vision
Datasets, Transforms and Models specific to Computer Vision
Language:PythonBSD-3-Clause000