Deep Unsupervised Learning Lecture notes from Berkeley-cs294 https://sites.google.com/view/berkeley-cs294-158-sp19/home Lec 1 Category Generative Model Non-generative representation learning Motivation for Unsupervised Learning Application Generate/predict fancy samples Detect Anomaly / deviation from distribution Which human can do quite well without training Data Compression (because of predictability) Use the inner representation to do other tasks! Pre-training Type of Question Core Question: Modeling a Distribution
Sep 13, 2019
Note on Computer Vision Lecture Notes from CS559. TOC {:toc} Lec01: Image Formation In principle, digital images are formed by measuring energy (counting photons) over an array. But several pre-processing steps makes it interesting and relevant to processing.
Sep 10, 2019
Note on Network Commnunication TOC {:toc} General Introduction Network connects devices to transfer data / information. LAN and WAN LAN: Localized network, connected machines in the same area. WAN: Wide area, Internet is the largest WAN! The 2 types are less distinct now, they are blurred because of cellular tech and wireless network.
Jul 30, 2019