Stanford CS231n Winter 2016 : Convolutional Neural Networks for Visual Recognition - Done

Stanford CS20 2018 : Tensorflow for Deep Learning Research - Continue

Stanford CS229 2017 : Machine Learning

Oxford CS deepnlp 2017 : https://github.com/oxford-cs-deepnlp-2017/lectures

NOTRE DAME Statistical Computing 2017 : https://www.zabaras.com/statisticalcomputing

Read http://efavdb.com/gaussian-processes/ - Done

Check http://blog.dlib.net/2017/12/a-global-optimization-algorithm-worth.html - Done

Read https://ratsgo.github.io/blog/categories/

Implement Awesome-GANs : https://github.com/kozistr/Awesome-GANs/ - Done, Continue

Implement Object Detection with Yolo v2 & Faster R-CNN for embedded devices - Pending

Find about Real-Time Image Captioning for embedded devices - Done

Kaggle : Plant Seedlings Classification - Done

Write a kernel, Kaggle : Plant Seedlings Classification - Done

Find about WaveNet, sound classification(?), generation - Done, Continue

https://github.com/jtoy/awesome-tensorflow

Sound Classification & Pre-Processing... - Continue

Check Yolo v3 - Done