Machine Learning

SuperResolution by Unet and customized feature loss

Unet is one of the universal deep learning…

Restricted Boltzmann Machine, a complete analysis. Part 3: Contrastive Divergence algorithm

Restricted Boltzmann Machine, a complete analysis. Part 2: A Markov Random Field model

This second post of the Restricted Boltzmann Machine is to explain about its core properties and establish fundamental tools/knowledge to solve it. We will see these things:

Restricted Boltzmann Machine, a complete analysis. Part 1: introduction & model formulation

Someday ago, my colleague asked me about RBM algorithm and what is the difference vs other learning algorithms. It is really interesting about this algorithm as Netflix used…

Tensorflow — day 1+2: High level APIs

After 2 days of starting to touch the Tensorflow framework. I am starting to write my experience recap. Of course, it follows the tutorial of tensorlow but I try to make figures and important points for new comers as me (simple/easier to understand).

Deeplearning.ai CNN week 4: Special applications

Face recognition/ Neural style transfer application

Deeplearning.ai CNN week 3: Object detection

Heading to the YOLO algorithm

• Classification vs Localization vs Dectection?

Deeplearning.ai: CNN Week 2 — Convolutional Neural Network Architecture

Case studies of CNN

Deeplearning.ai: CNN week 1 — Convolutional Neural Network terminology

From edge filtering to…