9.520/6.860, Class 11

Class 11: Neural networks - tips, tricks & software

Instructor: Andrzej Banburski


We take a look at the problem of initialization and hyper-parameter tuning, before going on to discuss different optimizers, batch normalization, dropout, data augmentation and transfer learning. We then go through a brief overview of PyTorch and Tensorflow.


Slides for this lecture: PDF

Further Reading