Course Projects for Introduction to Machine Learning, an undergraduate class at Hacettepe University — This semester the theme is Machine Learning and Food..

Nov 17, 2016

BBM 406 Class Projects (Fall 2016)

BBM 406 is an undergraduate-level machine learning class in the Department of Computer Engineering at Hacettepe University. An integral part of the course is the class projects, and this semester the theme of the projects is Machine Learning and Food.

Stay tuned for updates..

Eat & Count in bbm406f16

Jan 14, 2017

[Week7— Eat & Count]

In our Week-5 blog post, we have talked about training a ConvNet from scratch and shared our preliminary results. We have used AlexNet model and trained it on 10 classes from Food-101 dataset. The preliminary result that we get from this model is about 50% accuracy. But it is time consuming…

Sentiment Analyzer in bbm406f16

Jan 4, 2017

[Week 5 — NLP Zemberek]

Zemberek is an open source Turkish language linguistic processing library. The fully Java-developed library has features such as spell checking, suggestions for incorrect words, hyphenation, deasciifier, and erroneous code clearing.

Eat & Count in bbm406f16

Dec 25, 2016

[Week4 — Eat & Count]

Last week, we talked about deep learning frameworks, their advantages and disadvantages then we tried to decide which one is suitable for our project and which one to choose. As a result, we decided to use Tensorflow Framework for our project and we implement a simple network by using…

Machine Likes It in bbm406f16

Dec 12, 2016

Week 3 — Estimating Preferences By Region Using Yelp Data

Sentiment Analyzer in bbm406f16

Dec 12, 2016

[Week 3 — Features and Classification]

The week we passed we started to collect our own Turkish dataset. In this week, we began to investigate how we will use these comments we collected and the classification process. We have the basic two steps we need to do.

Sentiment Analyzer in bbm406f16

Dec 5, 2016

[Week 2— Collection Reviews]

We collect our data. But there is a problem with collected reviews, misspelling words. Misspellings need to be corrected to ensure the safety of the comments we collect. We need to do a simple natural language processing for it. We found a ready-made Python code that converts…

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Eat & Count in bbm406f16

Jan 4, 2017

[Week6 — Eat & Count]

In our project, our goal is to understand a given photos’ class and calculate the calorie of foods eaten in a period. In previous blogs, we talked about image classification, how to understand the kind of a given test food photo. In this blog, we will be talking about the second part of…

YelpGuesser in bbm406f16

Nov 20, 2016

[Week 1 — YelpGuesser ]

A Look on Sentiment Analysis

Sentiment analysis is one of the most observed topic in Machine Learning and Natural Language Processing. But, have you ever wondered why it is important? Why do people constantly analyze this kind of problem over…

Eat & Count in bbm406f16

Dec 11, 2016

[Week3 — Eat&Count]

In this week, we searched some deep learning frameworks for our project. We needed a framework that satisfies our requirements such as easy to find sources about the framework, flexible, good at performance, suitable for work at Python etc. We found some frameworks, Caffe, Tensorflow, Theano…

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Blogs for course projects in BBM406 — Introduction to Machine Learning, an undergraduate class at Hacettepe University — This year the theme is Machine Learning and Food..

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