josephdviviano/brainhack-dl

brainhack 2019 deep learning teaching material

brainhack deep learning 2019

Course materials for the brainhack 2019 deep learning course.

Online Resources

• https://brainhack101.github.io/IntroDL/
• https://colab.research.google.com/github/brainhack101/IntroDL/blob/master/notebooks/2019/Rokem/2019_Rokem_OHBM_IntroDL.ipynb

Theory

• When to use classical ML vs DL.
• Theory of optimizing deep learning networks (linear regression --> MLP).
• The importance of regularization.
• Pitfalls of deep learning.

Practical

• Scikit learn baseline --> t-SNE!
• Make your own MLP that runs on MNIST in numpy.
• Crash course in keras (?).