课程简介
Course Introduction
《人工智能基础》讲授机器学习、深度学习、计算机视觉基础知识，重点培养与训练学生的实践应用能力。
本课程需要大家自主阅读英文教程并完成编程实验与练习，培养独立自主学习的研究型学习模式。
教学大纲
Teaching Syllabus
Intro to Machine Learning
How Models Work
Basic Data Exploration
Model Validation
Underfitting and Overfitting
Random Forests
Intro to Deep Learning
A Single Neuron
Deep Neural Networks
Stochastic Gradient Descent
Dropout and Batch Normalization
Binary Classification
Computer Vision
The Convolutional Classifier
Convolution and ReLU
Maximum Pooling
The Sliding Window
Data Augmentation
Intro to Game AI and Reinforcement Learning
Play the Game
One-Step Lookahead
N-Step Lookahead
Deep Reinforcement Learning
