Description
PyImageSearch University – Complete Bundle, a computer vision training course published by PyImageSearch Academy. You will learn image classification, object recognition and deep learning. You will learn all the hot topics faster than any other course. All you need to master computer vision and deep learning is for someone to explain everything to you in simple, intuitive terms. And this is exactly what I do. My mission is to teach complex artificial intelligence topics. Welcome to PyImageSearch, the most comprehensive computer vision, deep learning and OpenCV course online. Here you will learn how to successfully and confidently use computer vision in your work, research and projects.
What you will learn
- Successfully complete your computer vision and deep learning projects
- Find a job in artificial intelligence
- Using computer vision and deep learning in the workplace
Complete your graduation project and receive your bachelor’s degree. - Master’s thesis or PhD
- Conducting new research and publishing articles in a reputable artificial intelligence journal
- Learn computer vision and deep learning and then teach your high school or college students.
- Understanding computer vision and deep learning and starting a business in the artificial intelligence space
- Finishing that artificial intelligence project you’ve been working on during the nights and weekends
- How to install OpenCV on your computer
- How to use OpenCV to record video from a webcam or a video file
- How to use OpenCV to find ball lines in a video frame
- How to track the position and movement of the ball in a video
- How to use OpenCV to draw a box around a ball in a video
- And….
Who is this course suitable for?
- You are a computer vision expert who uses deep learning and OpenCV in your day job and you are eager to improve your skills.
- Are you a developer who wants to learn computer vision and deep learning, complete your challenging project at work
- Are you a college student who needs help with homework, completing your graduation project, or want more than what your university offers?
- You are a researcher or scientist looking to use computer vision and deep learning techniques in your research (and publish a paper).
- You have experience with machine learning and want to learn more about deep learning and neural networks.
Course specifications PyImageSearch University – Complete Bundle
- Publisher: PyImageSearch University
- teacher: Adrian Rosebrock
- English language
- Education level: all levels
- Number of courses: 159
- Training duration: 51 hours and 47 minutes
Chapters of the PyImageSearch University course – Complete Bundle
– OpenCV 101 – OpenCV Basics
– OpenCV 102 – Basic Image Processing Operations
– OpenCV 104 – Histograms
– Face Applications 101 – Face Detection
– Face Applications 102 – Fundamentals of Facial Landmarks
– Face Recognition 101 – Fundamentals of Facial Recognition
– Augmented Reality 101 – Fiducials and Markers
– Deep Learning 101 – Neural Networks and Parameterized Learning
– Deep Learning 102 – Optimization Methods and Regularization
– Deep Learning 103 – Neural Network Fundamentals
– Deep Learning 104 — Convolutional Neural Networks (CNNs)
– Deep Learning 105 — Hands-on Experience with CNNs
– Deep Learning 120 – Regression with CNNs
– Deep Learning 125 — Data Pipelines with tf.data
– Deep Learning 130 – Hyperparameter Tuning
– PyTorch 101 — Fundamentals of PyTorch
– PyTorch 102 — Intermediate PyTorch for CV techniques
– PyTorch 103 – Advanced PyTorch techniques
– Autoencoders 101 – Intro to Autoencoders
– Siamese Networks 101 – Intro to Siamese Networks
– Image Adversaries 101 – Intro to Image Adversaries
– Object Detection 101 – Easy Object Detection
– Object Detection 201 – Fundamentals of Deep Learning Object Detection
– Object Detection 202 – Bounding Box Regression
– OCR 101 — Fundamentals of Optical Character Recognition
– OCR 110 — Using Tesseract for Translation and Non-English Languages
– OCR 210 — EasyOCR, Aligning Documents, and OCR’ing Documents
– Deep Learning 106 — Improving Accuracy of CNNs
– Deep Learning 107 — Basic Real-world Projects
– Deep Learning 301 — Advanced Topics
– GANs 101
– GANs 201
– OCR 120
– OCR 130
– OCR 201
– OCR 220
Course prerequisites
- Understanding of Python basics
- Internet connection
- Windows, macOS, Linux, or Raspbian (all major operating systems supported)
- Free Gmail/Google account to run pre-configured Jupyter Notebooks in Colab (optional)
- A desire to learn
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 720p
Changes:
The version of 2023/7 compared to 2021/10 has increased the number of 15 lessons and the duration of 9 hours and 45 minutes.
download link
File(s) password: www.downloadly.ir
Size
38.3 GB
Be the first to comment