Minor Review: notebooks/feed-forward-networks/exercise-nn-pen-and-paper.ipynb
Added Introduction and requirements (previously marked as TODO)
In this notebook you'll visualize small neural networks using pen and paper. The idea is to gain an intuition about how the components of a neural network interact with each other, and how the input flows through the network to produce an output. In succeeding notebooks, you'll implement neural networks as code.
- Chapter 1 of Nerual networks and deep learning by Michael Nielsen
- You should have completed the course Introduction to Machine Learning.
Added an exercise to express logistic regression as a neuron. The intention is to provide continuity from the Intro to ML course and use a familiar model to introduce the new topic. The exercise is in a skip cell, awaiting approval/rejection.### Logistic regression as a neuron
Consider a basic neural network which consists of just one single neuron. [...]. Illustrate a neuron which produces the logistic hypothesis as its ouput [...]
Fixed typos