Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
18 Hour(s) 45 Minute(s)
Language
English
Taught by
Lutfor Rahman
Rating
5 views
Course Overview
Master Computer Vision & Deep Learning with Python OpenCV, TensorFlow & Keras with 14 Projects
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.
Course Content
- 10 section(s)
- 95 lecture(s)
- Section 1 Introduction
- Section 2 Installation and Configuration
- Section 3 Python Essentials
- Section 4 Assignments, quiz and coding exercises
- Section 5 Numpy essentials
- Section 6 Assignments and coding exercises
- Section 7 OpenCV
- Section 8 Assignments and coding exercises
- Section 9 Introduction to Matplotlib
- Section 10 Image Kernel / Filter
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
Skills covered in this course
Reviews
-
GGaurav Kumar Arya
great
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DDaniel Delgado Ruiz
Excellent course explaining everything described in detail, step by step.
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SSyed Faheem Haider
The course "Master Computer Vision & Deep Learning with Python OpenCV, TensorFlow & Keras" is extremely well-structured and hands-on. It breaks down complex topics into manageable, easy-to-understand modules. The 14 practical projects were especially helpful in reinforcing the concepts. I appreciated the clear explanations and real-world applications. The instructor's teaching style kept me engaged throughout. It’s a great course for both beginners and those looking to strengthen their CV and DL skills. Highly recommended for anyone serious about entering the field.
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yyhoff76 .
I think thus far, this course delivers precisely what it advertises and is very user friendly.
