Udemy – Master Computer Vision & Deep Learning in OpenCV and Keras 2025-3

Apr 18, 2025 - 20:04

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Master Computer Vision & Deep Learning in OpenCV and Keras Course. This comprehensive, step-by-step course is designed to provide a complete introduction to computer vision and deep learning. In this course, participants will first learn the basics of the Python programming language and its object-oriented concepts. Then, they will advance their knowledge of the Numpy library from beginner to intermediate levels. This will be followed by a comprehensive training on the OpenCV Python library, and participants will learn how to work with images and videos, perform various manipulations on images, and also object and face recognition techniques. After that, topics related to image kernels, artificial neural networks, the constituent elements of artificial neural networks, and the concept of deep learning will be taught theoretically and practically.

After mastering the building of artificial neural network models, the course moves on to more advanced topics such as deep neural networks and convolutional neural networks. In this section, participants will put their skills into practice by developing several practical projects using TensorFlow, Keras, and convolutional neural networks. These projects include binary image classification, multi-class image classification, and real-time object and face recognition and classification. During the course, about 50 practical projects will be developed, of which 17 will be done interactively and with the guidance of the instructor, 13 more projects are already included in the course, and about 4 more projects will be added gradually. The instructor is committed to adding at least 2 projects per week to the course content.

What you will learn

Basics and intermediate level of Python programming language
Basics and intermediate level of Numpy library
Image manipulation using OpenCV
Working with videos using OpenCV
Object recognition
Facial recognition
Getting to know and working with the Keras library
Getting to know and working with the TensorFlow library
Artificial neural networks
Elements of an artificial neural network
Deep learning
Convolutional neural networks
Image classification
Real-time object detection
Real-time face recognition and gender recognition
Real-time face recognition

This course is suitable for people who:

Interested in developing computer vision applications using Python, OpenCV, Numpy, TensorFlow, and Keras.

Course details: Master Computer Vision & Deep Learning in OpenCV and Keras

Publisher: Udemy
Instructor: Lutfor Rahman
Training level: Beginner to advanced
Training duration: 15 hours and 56 minutes
Number of lessons: 89

Course headings

Prerequisites for the Master Computer Vision & Deep Learning in OpenCV and Keras course

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.