introduction.md

Introduction to Deep Learning

Slides

• Logisitic, software and linear algebra lecture in keynote, PDF
• Jupyter notebooks
  • Linear Algebra in Jupyter, PDF
  • NDArray in Jupyter, PDF

<iframe src="http://docs.google.com/gview?url=http://courses.d2l.ai/berkeley-stat-157/slides/1_22/1-Logistics.pdf&embedded=true" style="width:600px; height:400px;" frameborder="0"></iframe>

Homework 1

Jupyter and PDF. Note that the PDF version is just there to allow you to render it easily on a viewer. For homework submission you will need to use Jupyter.

Extended Reading

• Introduction to Deep Learning
• Installation
• Linear Algebra
• Using Jupyter Notebook
• Using AWS to Run Code

Videos

<iframe width="560" height="441" src="https://www.youtube.com/embed/Va8WWRfw7Og" frameborder="0" allowfullscreen></iframe> <iframe width="560" height="441" src="https://www.youtube.com/embed/p9tpTt6ZsLI" frameborder="0" allowfullscreen></iframe> <iframe width="560" height="441" src="https://www.youtube.com/embed/qouBvNDOi9o" frameborder="0" allowfullscreen></iframe> <iframe width="560" height="441" src="https://www.youtube.com/embed/dtX8iQGQQkI" frameborder="0" allowfullscreen></iframe> <iframe width="560" height="441" src="https://www.youtube.com/embed/22_SnBBCYk4" frameborder="0" allowfullscreen></iframe> <iframe width="560" height="397" src="https://www.youtube.com/embed/N17ovGpUz3M" frameborder="0" allowfullscreen></iframe> <iframe width="560" height="397" src="https://www.youtube.com/embed/f_gP3KaeJV8" frameborder="0" allowfullscreen></iframe>