Plan for January 31’s class

Duties before class (please review well before the class):

  • Read my paper on Practical recommendations for gradient-based training of deep architectures up to and including section 3.1.
  • Come up with AT LEAST ONE QUIZ QUESTION regarding the material you have read. Post it in the Quiz section of the course. We’ll discuss the quiz and their answers in class. Take the opportunity to give a challenge to your student mates! The questions may include ones for which you do not know the answer and you would like a discussion in class.
  • If you are not already familiar with python and numpy, continue familiarizing yourself, do the Python Tutorial and the Numpy Tutorial. Otherwise, starting studying the Theano tutorial. Then study Ian Goodfellow’s notebooks for getting familiar with Theano and Pylearn2.

Planned for the class:

  • We will discuss gradient-based learning and the quiz questions.

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