Blogs

System Design

Caching Caches take advantage of the locality of reference principle: recently requested data is likely to be requested again. They are used in almost every computing layer: hardware, operating s...

Posted by Becks on July 18, 2022

DIY workspace

Desks: Autonomous.ai SmartDesk Frame : $431.04 Ikea KARLBY Countertop, oak/veneer74x1 1/2 “: $180 List of Monitors: LG 27GL650F-B $204.71 LG 34WK650-W $316.67 Acer Nitro XZ322Q $266...

Posted by Becks on December 31, 2021

Docker - Note

Docker basic | Docker Introduction

What is Docker Docker is the software container platform. It can be used to replicate dependencies of prdocution machines Containers allow a developer to package up an application with all of the...

Posted by Becks on July 12, 2021

Jenkins

Jenkins - Tutorial

如果想open code directiory from command line, 可以用code command code Unit-Test-Demo/ What is Jenkins Continous Integration Tools (CI): All open source Bamboo Buildbot Gump Travis: special...

Posted by Becks on May 20, 2021

Natural Language Processing II

Trax, Encoder Decoder

3.1 Trax: Neural Networks Neural Network predict tweets sentiment, structure: Input is a vector of Integers, assign each word based on index from vocabulay and apply padding set length as ma...

Posted by Becks on November 13, 2020

Natural Language Processing

Naive Bayes, N-gram, Word Embedding, Perplexity

1.1 Vocabulary & Feature Extraction Sparse Representation Represent Text as a vector. Check every word from vocabulary, if appear, note 1 else 0 Disadvantage: Large Logistric regress...

Posted by Becks on November 12, 2020

Machine Learning

Random Forest, AdaBoost, Gradient Boost, XGBoost

Logit Function \[Odd = \frac{P }{1- P}, \text{ where p is probability}\] \[\color{fuchsia}{\bf{odd} = \frac{\text{Something happening i.e. wining}}{ \text{Something not happening. i.e. losing }...

Posted by Becks on May 13, 2020

Introduction to TensorFlow

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

The blog is a summary of Coursera Specialization DeepLearning.AI TensorFlow Developer Professional. To see more detailed Tensorflow code examples, check this repo A New Programming Paradigm K...

Posted by Becks on October 1, 2019

Convolutional Neural Networks

CNN, ResNets, Inception Networks, Object Detection, Face Recgnition, Neural Style Transfer

1 Convolution Neural Networks Computer Vision Challenge: the input can be really big, e.g if a image 1000*1000 pixel，Each pixel is controlled by three rgb channel，image input is 1000*1000*3. Inp...

Posted by Becks on July 12, 2019

Deep Learning Summary

深度学习 Deep Learning - Note

note from Coursera Deep Learning Input(x) Output(y) application Type of Neuron Network Home Features Price Real Estate ...

Posted by Becks on November 11, 2018