This is an exercise from the course:
Udacity/ Intro to ML with Tensor Flow – Scholarship Program Nanodegree Program
Calculating Information Gain of Different Split Criteria:
Decision Tree Implementations
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”?
sandwich club app
The project 1 of Udacity- Android Developer Nanodegree.
Start by downloading Udacity project starter code
Common Project Requirements: https://review.udacity.com/#!/rubrics/1348/view
Gina Hsu 