Note for Coursera : Supervised Machine Learning: Regression and Classification
1. To implement the model 𝑓𝑤,𝑏 for linear regression with one variable
linear regression
Author: Gina
Decision Tree Implementations
This is an exercise from Intro to ML with Tensor Flow – Scholarship Program Nanodegree Program
Calculating Information Gain of Different Split Criteria:
Style Transfer & DeepTraffic
Canny Edge Detection
Fourier Transform of Filters
HSV MASK & RGB MASK
Fourier Transform
Lesson 2: Introduction to Neural Networks_II
Udacity: Intro to Deep Learning with PyTorch:
– Logistic Regression:
- Take your data
- Pick a random model
- Calculate the error
- Minimize the error, and obtain a better model
– Calculating the Error Function
Lesson 2: Introduction to Neural Networks_I
Udacity: Intro to Deep Learning with PyTorch:
Lesson 2: Introduction to Neural Networks
– Why “Neural Networks”?
Gina Hsu 