Lasti's repositories
Six_Layer_Perceptron
A six layer perceptron including five hidden layers and one output layer. Using ReLU as activation function, the five hidden layers transform the input features from 784 dimensions to 16 dimensions. After 10 epochs of training, the nn shows great acc on Fashion-MNIST.
Language:Jupyter NotebookMIT000
FashionMNIST_Classification
This project builds up a simple single-layer model to finish the image classification task starting with nothing.
Language:Jupyter NotebookMIT000
Decision_Tree_Demo
A demo of Decision Tree in ML textbook, using watermelon features to predict whether a watermelon is good or not. The demo is coded with the simplest Python, without using packages providing apis of DT.
Language:Jupyter NotebookMIT000
Awesome-Profile-README-templates
A collection of awesome readme templates to display on your profile
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