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Keep shoppingMaster Computer Vision & Deep Learning in OpenCV and Keras
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191 students
Master Computer Vision & Deep Learning in OpenCV and Keras
Master Computer Vision & Deep Learning with Python OpenCV, TensorFlow & Keras with 14 Projects
Created byLutfor Rahman
Last updated 12/2025
English
What you'll learn
- Basic & Intermediate of Python
- Basic & Intermediate Numpy
- Image manipulation using OpenCV
- Work with video using OpenCV
- Object detection
- Face detection
- Keras
- Tensorflow
- Artificial Neural Network
- Elements of an Artificial Neural Network
- Deep Learning
- Convolutional Neural Network
- Image classification
- Realtime object detection
- Real time face and gender detection
- Real time face detection
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Coding Exercises
This course includes our updated coding exercises so you can practice your skills as you learn.
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Course content
30 sections • 96 lectures • 18h 55m total length
Requirements
- No prior programming knowledge is required
- You need a decent computer with a decent internet connection.
- A very very important prerequisite: You are seriously willing to write codes with me.
- A very very important prerequisite: You are seriously willing to develop deep learning and computer vision projects.
Description
Welcome to the course "Master Computer Vision and Deep Learning with Python OpenCV, TensorFlow and Keras". In this course you will learn everything from scratch.
First you will learn Python from scratch to object oriented Python. Then you will learn Numpy from very basic to intermediate level. After that you will learn Python OpenCV from very beginning to advance level and then you will learn Matplotlib.
At this stage you will learn about Image Kernels, Artificial Neural Network, Elements of Artificial Neural Network and What is Deep Learning.
You will learn basic to intermediate levels of Tensorflow and you will learn how to play with tensors. You will learn how to create different types of tensors using Tensorflow and run different operations on those tensors.
Finally, it's time to learn how to create an Artificial Neural Network Model using Tensorflow and Keras and we will create to solve a linear regression problem.
After we learn and create Artificial Neural Network Model using Tensorflow and Keras, now it's time to implement Deep Neural Network, Convolutional Neural Network and develop multiple projects using Tensorflow, Keras and Convolutional Neural Network. We learn and develop binary image classification, multi-class image classification and real time classification and detection and we will learn and develop through projects by developing about 50 projects.
You will learn through developing projects and writing codes together. We will together develop about 30 projects. I've already added 14 projects and about 16 more projects is coming soon. I will try to add at least 1 project per week.
I promise to give you something which no instructor has ever given in any course.
Who this course is for:
- For someone who wants to develop a computer vision applications using python OpcnCV, Numpy, Tensorflow & Keras