<commit_before>---
layout: post
title:  "Week 2 - Neural Networks Basics"
date: 2017-10-10 16:20:00 +0700
# categories: ['machine learning', 'deep learning']
tags:
  - Coursera Deep Learning Course 1
comments: true
mathjax: true
content_level: 3
img: https://i.imgur.com/p8JojW8.png
summary: Convolutional Neural Networks notes
---

## **Logistic Regression as a Neural Network**

### **Binary Classification**

To store an image, the computer stores three separate matrices corresponding to the red, green, and blue color channels of the image.

{% include image.html
  url="https://i.imgur.com/Yt0iTte.png"
  cap="Figure 1. Three separate 5x4 matrices corresponding to three color channels (to store a 5x4 pixel image)."
  src_cap="Coursera Deep Learning course"
  src_url="https://www.coursera.org/learn/neural-networks-deep-learning"
%}<commit_msg>fix build bug<commit_after>---
layout: post
title: "Week 2 - Neural Networks Basics"
date: 2017-10-10 16:20:00 +0700
# categories: ['machine learning', 'deep learning']
tags:
  - Coursera Deep Learning Course 1
comments: true
mathjax: true
content_level: 3
img: https://i.imgur.com/p8JojW8.png
summary: Convolutional Neural Networks notes
---

## **Logistic Regression as a Neural Network**

### **Binary Classification**

To store an image, the computer stores three separate matrices corresponding to the red, green, and blue color channels of the image.

{% include image.html
  url="https://i.imgur.com/Yt0iTte.png"
  cap="Figure 1. Three separate 5x4 matrices corresponding to three color channels (to store a 5x4 pixel image)."
  src_cap="Coursera Deep Learning course"
  src_url="https://www.coursera.org/learn/neural-networks-deep-learning"
%}
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