## Revision b6398d965879a8c814f6b5561f81169f62dfccc8 (click the page title to view the current version)

## Changes from beginning to b6398d965879a8c814f6b5561f81169f62dfccc8

---
title: Neural Networks Lecture
categories: lecture
---
# Briefing
## What is a newural network
+ The single Neuron
+ Weighted Input
+ Activation
+ The network model
+ Input/Output
+ Weights
+ Activation Function
+ The Tensor Model
## Output and Loss Function
+ Classification versus Regression
**MSE**
$$L = (x-y)^2$$
**CrossEntropy**
$$L = \log \frac{ \exp x_{y} } { \sum \exp x_i }$$