Tensorflow 101
- tensorflow programming model
- implement some basic linear algebra to get comfortable and
- transition to implementing basic perceptrons
- get acquainted with Keras
Machine Learning 101
Fundamentals of Deep Learning
- how to feed features into a neural network
- error functions
- gradient descent
- learning optimization
- activation
- layers, etc.
Project: Bike sharing prediction with Keras BONUS: (If time permits) Flyby tour of C-NN, R-NN 1 hour