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Udemy – Master Computer Vision & Deep Learning in OpenCV and Keras
Free Download Udemy – Master Computer Vision & Deep Learning in OpenCV and Keras
Published: 4/2025
Created by: Lutfor Rahman
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 89 Lectures ( 15h 56m ) | Size: 9.13 GB
Master Computer Vision & Deep Learning with Python OpenCV, TensorFlow & Keras with 17 Projects
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
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 17 projects. I've already added 13 projects and about 4 more projects is coming soon. I will try to add at least 2 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
Homepage:
https://www.udemy.com/course/master-computer-vision-deep-learning-in-opencv-and-keras/
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