Prerequisites

This course will not teach you machine learning nor will it teach you how to program. Therefore, the more you know on the below topics, the less confused you will be and the more you will gain from the course.

• Math: linear algebra, in particular matrix multiplication, number systems including binary counting, functions
• Computing: computer architecture, two’s complement, boolean algebra, memory, bit manipulation
• Programming: conditionals and control flow, loops, variables, data types, compilation and linking, logical operators
• Electronics: voltage and current, logic gates, transistors, circuits
• Machine learning: feed-forward fully connected networks, convolutional networks, backpropagation, gradient descent, weights, activation functions, cost functions
• Software: command line familiarity, basic operating systems knowledge, Git

No machine learning or SystemVerilog knowledge is required, learning material will be provided.