### Udacity: Intro to Deep Learning with PyTorch:

#### Day 21 of #60daysofudacity:

### Lesson 2: Introduction to Neural Networks

##### – Why “Neural Networks”?

### – Perceptron Algorithm

#### – Error Function

An error function is simply something that tells us how far we are from the solution

#### – Log-loss Error Function

#### – Discrete vs Continuous Predictions

#### – One-Hot Encoding

#### Day 23 of #60daysofudacity:

#### – Maximum Likelihood

**Cross-Entropy**

There’s definitely a connection between probabilities and error functions, and it’s called **Cross-Entropy**. This concept is tremendously popular in many fields, including Machine Learning.