Object detection by CAM with Keras

Abstract

On this article, I'll try CAM(Grad-CAM) to high resolution images. Cam has the potential for object-detection. So, I will make CNN model and by CAM, check if it really works.
About CAM(Grad-CAM) itself, I'll recommend the theses below.

• Learning Deep Features for Discriminative Localization
• Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization

Class Activation Map with Keras

Abstract

On this article, I'll try CAM, Class Activation Map, to mnist dataset on Keras.

Simple note for Julia DataFrame

Overview

On this article, I'll write down the Julia's basic dataframe manipulation.
I just started to use Julia. I want to continue to use this language as DS and ML tool. For that, at first I'll focus on the basic dataframe manipulation.
Here, the version of Julia is 0.6.2.

Try Julia: from install to simple mathematical operation

I started to use Julia. Although more or less one year ago, I touched Julia, it didn't become my daily tool. But these days I frequently hear about Julia in data science field and also the news about version 1.0 hit on me. So, I decided earnestly to tackle with it.
On this article, I'll arrange some information of Julia and show some mathematical and matrix operations.

Some Fine tuning models with Keras: vgg16, vgg19, inception-v3 and xception

Overview

On this article, I'll try four image classification models, vgg16, vgg19, inception-v3 and xception with fine tuning. With Keras, we can easily try this.
About fine tuning itself, please check the article below.

• How to make Fine tuning model by Keras

The purpose of this article is to understand the points of fine tuning by doing some fine tuning models at once.