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
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.