A.I, Data and Software Engineering

Categoryback-end

back-end development

Create a trainable chatbot with java

A chatbot is a software application used to conduct an on-line chat conversation via text or text-to-speech, in lieu of providing direct contact with a live human agent. This article will demonstrate a short fun coding piece to simulate a chatbot. Its objectives are: Accept input from the console as a string and give an answerIf the bot cannot find the answer, they ask for training and add the...

AI in agriculture: fruit grading (Part 1)

petamind

During a meet up last month, a friend told me about the current project on a farm in New Zealand. They want to build a system to grade their fruits and AI is the technology they are looking for. It inspired me to write about how machine learning can help in solving such a problem. Fig 1: Apple grading The grading task Given an apple, we need to sort it to correct category in three available...

An example to Graph Convolutional Network

petamind

In my research, there are many problems involve networks of different types, e.g. social network, online-trading networks, crowd-sourcing, etc. I was so happy to find a new powerful tool for my research, the graph convolutional network, which applies deep learning on graph structures. Graph convolutional network (GCN) Graph convolutional network (Src: Thomas Kipf) There is currently no official...

A gentle demonstrate to Tensorflow’s graph and session

petamind

When starting Tensorflow (TF), many may find that the result cannot be obtained immediately. Rather, you must use a session or interactive session. TensorFlow uses a dataflow graph to represent your computation in terms of the dependencies between individual operations. This leads to a low-level programming model in which you first define the dataflow graph, then create a...

Convolutional Neural Network with CIFAR and Tensorflow (example)

petamind

Fig 1: A CNN sequence to classify handwritten digits (src: medium) In this article, we assume that you already understand the basic concepts of a convolutional neural network (CNN), e.g. one-hot coding, convolution, pooling, fully-connected layer, activation functions. If you are totally new to these terms, please find and read our other articles. The problem We will use Tensorflow to build a...

A.I, Data and Software Engineering

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