Neural Networks For Your Dog - 2.6 Perceptron To Neural Network
Contents
2.6 Perceptron To Neural Network
In this lecture, we’ll discuss an intuitive way for interpreting why perceptrons work and how they can be used to mimic simple logical programs. However, we’ll also observe that perceptrons fail to solve the XOR problem, and how that deficiency (plus some knowledge about the human brain) leads to a natural derivation of multilayer perceptrons - AKA neural networks.
Course Curriculum
- Introduction
1.1 Introduction - 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 - 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