Notes from Autonomous Driving Udacity course.

• differentiable graphs https://svail.github.io/diff_graphs/
• add layers
• add nodes to layers
• add RELUs.   https://www.youtube.com/watch?v=5Qtg2jVgQgs
• topological sort
• forward pass
• backpropagate  https://www.youtube.com/watch?v=_TcMRoWFppo
• regularize  https://www.youtube.com/watch?v=pECnr-5F3_Q
• dropout   https://www.youtube.com/watch?v=NhZVe50QwPM https://www.youtube.com/watch?v=8nG8zzJMbZw https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf
• add inception module https://www.youtube.com/watch?v=sdT5f8n7IcI
• pooling

Weights

• upload  https://www.youtube.com/watch?v=mMT_3k1LvNU
• train
• download