- using Colab
- dataset: iris
- framwork: tensorflow 2.x
- using partial_fit
- support
- configurable setting batch_size
- 2D decision boundary visualization for both binary class and multi-class
- using Colab
- dataset1: digits
- dataset2: fetch_openml--Mnist original
- models: Logistic regression, multilayer perceptron, SVM
- framwork: tensorflow 2.x
- using matplotlib
- support
- Take a view for both testing image and predicted probabilities(All image)
- Take a view for both testing image and predicted probabilities(only misclassificated one)
- using Colab
- dataset: kaggle dogs-vs-cats
- deep learning methods:
- Fine-turn Vgg16
- Train by scratch
- framwork: tensorflow 2.x