Course of Deep Learning

Resources:
[1] Cutting-Edge Trends in Deep Learning and Recognition http://slazebni.cs.illinois.edu/spring17/
[2] Course Deep Learning https://nthu-datalab.github.io/ml/
[3] Colab https://medium.com/deepquestai/train-object-detection-ai-with-6-lines-of-code-6d087063f6ff

Linear Regresion

[1] Regresion linear http://onlinestatbook.com/2/regression/intro.html
[2] https://towardsdatascience.com/linear-regression-with-example-8daf6205bd49

Deep Learning Lectures

References:
[1] Top ten papers https://www.techleer.com/articles/517-a-list-of-top-10-deep-learning-papers-the-2018-edition/

Fiducial Land Mark (Face Keypoints)

Facial Keypoints
[1] https://github.com/sunsided/facial-keypoints
[2] kaggle https://www.kaggle.com/c/facial-keypoints-detection/data


Resources:
1) Source Code Matlab/C++
http://cmp.felk.cvut.cz/~uricamic/flandmark/

Tools for text to speech

[1] use TensorFlow http://hts.sp.nitech.ac.jp/?Download#zf6c5f7c