Coding a Neural Network - Full Stack Deep Learning - Spring 2021

Dive into a comprehensive 42-minute video tutorial on coding a neural network from scratch. Get acquainted with the Google Colab environment, create a simple linear regression model using only NumPy, and progress to building a multi-layer perceptron regression model utilizing NumPy, PyTorch, and Keras. Learn essential skills in numerical computing with NumPy, data visualization with Matplotlib, and explore both basic linear regression and more advanced multi-layer perceptron techniques for regression tasks.

- Intro
​ - Colab Notebook 101
​ - Numerical computing via NumPy
​ - Plotting via Matplotlib
​ - Basic regression with a linear model
​ - Basic regression with a multi-layer perceptron