課程簡介
Course Introduction
《人工智能基礎(chǔ)》講授機器學(xué)習、深度學(xué)習、計算機視覺基礎(chǔ)知識，重點培養(yǎng)與訓(xùn)練學(xué)生的實踐應(yīng)用能力。
本課程需要大家自主閱讀英文教程并完成編程實驗與練習，培養(yǎng)獨立自主學(xué)習的研究型學(xué)習模式。
教學(xué)大綱
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
