Machine learning mastery in 7 days.

How to get started with deep learning for Computer Vision

Computer vision has developed over years.

Deep Learning for Computer Vision-Mini Course

Computer vision technology is highly popular and becoming a

Computer Vision Engineer is a promising career option for begineers

as well as for experienced developers.

Working with image data requires knowledge from diverse

domains such as digital signal processing, machine learning

statistical methods and deep learning.

Here in a simple step by step manner we will discover and uncover

how to develop deep learning for computer vision problems

using Python in 3 days.

Note:This is wee bit large...you might want to bookmark it.

Before diving deep, below are the guidelines

You need to Know

basics around Python,NumPy and Keras for deep learning.

You do not need to be

1. be a math whiz

2. no need to be a deep learning expert.

3.no need to be a computer vision researcher.

This will lead you to a developer that knows a little

machine learning to a developer who can bring deep

learning methods to your own computer vision project.

Note: This assume you have working Knowledge on

Python 2 or 3 with at least

NumPy, Pandas,scikit-learn, and Keras 2 installed.

If you need help with setting up your environment,please

follow the step-by-step tutorial here:

https://machinelearningmastery.com/setup-python-environment-machine-learning-deep-learning-anaconda/

https://machinelearningmastery.com/how-to-get-started-with-deep-learning-for-computer-vision-7-day-mini-course/

The author has explained installation mastery in a few step by step procedures

SciPy environment

Also some computer vision tools to master

https://viso.ai/computer-vision/the-most-popular-computer-vision-tools/

Comments

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