The payment is 100% refundable if you cancel before the first session, 50% if you withdraw before the second session, and 0% refund if withdraw after the second session. To request a refund, please contact [email protected]
Deep learning is not an entry-level subject. In order to get the most out of the course, students should be familiar with basic statistics, basic linear algebra (matrix multiplication, transposing matrices), basic calculus (derivatives, summations), and programming (Python preferred, but those comfortable with another language should be able to learn the material).
There will be a pre-course workshop to refresh students on the requisite linear algebra and calculus techniques. Students with familiarity with NumPy will find it easier to pick up the material, but necessary components will be taught along with the rest of the course. Course materials will be hosted on GitHub, so knowledge of the bash console, Git, and the GitHub platform are beneficial but not required.