February 2018
Intermediate to advanced
360 pages
12h 28m
English
This chapter covers
Understanding deep learning requires familiarity with many simple mathematical concepts: tensors, tensor operations, differentiation, gradient descent, and so on. Our goal in this chapter will be to build your intuition about these notions without getting overly technical. In particular, we’ll steer away from mathematical notation, which can be off-putting for those without any mathematics background and isn’t strictly necessary to explain things well.
To add some context for tensors and gradient descent, we’ll ...
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