AI Algorithms: Neural Networks Session 1
In this two month series, we will go through each step of the implementation of a deep learning algorithm. We will see each detail of a forward neural net, the CNN and the LSTM.
Requirements: Basic Linear Algebra, Basic Python (or good programming level in another language), and Calculus.
In this first session, we will create a simple feed forward network with one hidden layer and one kind of activation function.
Please attend all classes within the series and consider bringing a laptop.
The series continues Wednesdays, May 8, 15, 22, 29; and June 5, 12, 19, 26.