Pengfei Nie

Pengfei Nie

J2EE Web,
Machine Learning,
Artificial Intelligence.

Blog posts

2021

how to install kubeflow

3 minute read

Published:

Kubeflow is a platform for data scientists who want to build and experiment with ML pipelines. Kubeflow is also for ML engineers and operational teams who want to deploy ML systems to various environments for development, testing, and production-level serving. Kubeflow is the ML toolkit for Kubernetes. The following diagram shows Kubeflow as a platform for arranging the components of your ML system on top of Kubernetes.

2020

How Convolutional Neural Networks Work

14 minute read

Published:

Nine times out of ten, when you hear about deep learning breaking a new technological barrier, Convolutional Neural Networks are involved. Also called CNNs or ConvNets, these are the workhorse of the deep neural network field. They have learned to sort images into categories even better than humans in some cases. If there’s one method out there that justifies the hype, it is CNNs.

convolution operation on images

5 minute read

Published:

We all love to see beautiful images, but have you ever thought how do computers see an image? In this tutorial, we will give an explanation of how images are stored in a computer.

convolution

3 minute read

Published:

Convolution Neural Network is one among various types of Deep Learning Neural Networks. CNN is very powerful and widely used in image classification, image recognition, computer vision etc.

machine learning and deep learning

2 minute read

Published:

The term “artificial intelligence” has been around since the 1950s, but it’s taken more than half a century for it to finally have a transformative impact on everyday life. During one of those golden moments, in the 1980s, a branch of AI was born: machine learning (ML). ML uses mathematical algorithms that allow machines to learn. Machine learning is an analytical way of solving problems through identification, classification or prediction. Algorithms learn from entered data and then use this knowledge to draw conclusions from new data. Already in the 21st century, in 2011, a branch of machine learning called deep learning (DL) appeared. The popularity of machine learning and the development of the computing capacity of computers enabled this new technology. Deep learning as a concept is very similar to machine learning but uses different algorithms. While machine learning works with regression algorithms or decision trees, deep learning uses neural networks that function very similarly to the biological neural connections of our brain.

2018

2012

two-way ssl authentication

12 minute read

Published:

In this article, we’ll focus on the main use cases for X.509 certificate authentication.