- Machine Learning Projects for Mobile Applications
- Karthikeyan NG
- 175字
- 2021-06-10 19:41:43
Finding patterns
A very simple approach to identifying a given image containing the number 0 (or not) can be solved by storing images of all the numbers and comparing every image in order to identify a good match. This will be a tricky and tedious process, since computers do math literally. Until we have an exact match of the input image with the one in our repository, we will not find a match. From a computer's perspective, an image will be seen as a two-dimensional array of pixels with a number at every position. Let's see an example of this with the number 0:
The diagram on the left within the preceding diagram is in our repository, while the one on the right is the input image, which is a slightly deformed/hand written version of number 0. Upon verification, the computer will try to match all pixel values. However, when there is no exact value match at the pixel level, the number 0 won't be identified. This is where we need a CNN to help.
- 觸摸屏實用技術與工程應用
- 電腦維護與故障排除傻瓜書(Windows 10適用)
- Creating Dynamic UI with Android Fragments
- The Applied AI and Natural Language Processing Workshop
- 3ds Max Speed Modeling for 3D Artists
- Manage Partitions with GParted How-to
- Artificial Intelligence Business:How you can profit from AI
- 計算機組裝與維修技術
- Blender Quick Start Guide
- 新編電腦組裝與硬件維修從入門到精通
- 3D Printing Blueprints
- 嵌入式系統原理及應用:基于ARM Cortex-M4體系結構
- 微服務實戰(Dubbox +Spring Boot+Docker)
- 微控制器的應用
- Learning Less.js