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Training With Your Own Dataset on Caffe

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Hi, everyone! Welcome back to my Machine Learning page today. I have been playing around with Caffe for a while, and as you already knew, I made a couple o...

Building up my own machine for Deep Learning

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Hello guys, it’s me again being here with all you guys today. There will be no tutorial in this post, so at first I’m sorry for that. But Halloween is coming...

Installing Caffe on Ubuntu (CPU-ONLY)

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First, to tell you guys the truth, I had no intention to write this post. You know, because I actually don’t have much experience with Caffe. And I am not so...

Real Time Object Recognition (Part 2)

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So here we are again, in the second part of my Real time Object Recognition project. In the previous post, I showed you how to implement pre-trained VGG16 mo...

Real Time Object Recognition (Part 1)

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Technology sometimes seems like magic, especially when we don’t have any idea about how it was done, or we even think it can’t be done at all. When I was a k...

Tutorial

Machine Learning Part 9: Regularization

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Welcome back to my 9th tutorial on Machine Learning! I have been kept busy in last weekends, struggling in getting my desktop ready for Deep Learning. You ...

Machine Learning Part 8: Decision Tree

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Hello guys, I’m here with you again! So we have made it to the 8th post of the Machine Learning tutorial series. The topic of today’s post is about Decisio...

Machine Learning Part 7: Cross Validation

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Hello there, so I’m here again to bring you the 7th post on my Machine Learning tutorial series. Today I will talk about Cross Validation, a term that you ...

Machine Learning Part 6: Logistic Regression

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Hello there, I am back with you today. In the 6th post on Machine Learning tutorials series, I will tell you about Logistic Regression, a very important an...

Machine Learning Part 3: Linear Regression

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Here we are again, in the third post of Machine Learning’s tutorials. Today I’m gonna tell you about Linear Regression, the most common and understandable ...