Neural Networks For Your Dog - 2.2 Perceptron Model

2.2 Perceptron Model

In this lecture, we’ll discuss and code up a Perceptron - a linear binary classifier created by Frank Rosenblatt in 1958.

Code

Course Curriculum

(See the code on GitHub)

1. Introduction
   1.1 Introduction
2. Perceptron
   2.1 MNIST Dataset
   2.2 Perceptron Model
   2.3 Perceptron Learning Algorithm
   2.4 Pocket Algorithm
   2.5 Multiclass Support
   2.6 Perceptron To Neural Network
3. Neural Network
   3.1 Simple Images
   3.2 Random Weights
   3.3 Gradient Descent
   3.4 Multiclass Support
   3.5 Deep Learning
   3.6 Stochastic Gradient Descent
   3.7 Going Further

Additional Content

1. Python NumPy For Your Grandma
2. Python Pandas For Your Grandpa
3. Introduction To Google Colab