課程簡(jiǎn)介
Course Introduction
《人工智能基礎(chǔ)》講授機(jī)器學(xué)習(xí)、深度學(xué)習(xí)、計(jì)算機(jī)視覺(jué)基礎(chǔ)知識(shí)，重點(diǎn)培養(yǎng)與訓(xùn)練學(xué)生的實(shí)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(shí)驗(yàn)與練習(xí)，培養(yǎng)獨(dú)立自主學(xué)習(xí)的研究型學(xué)習(xí)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
