PyImageSearch University – Complete Bundle 2023-7

PyImageSearch University – Complete Bundle, You will learn image classification, object detection, and deep learning. Learn all the hot topics faster than any other course. Guaranteed. All you need to master computer vision and deep learning is for someone to explain things to you in simple, intuitive terms. And that’s exactly what I do. My mission is to change education and how complex Artificial Intelligence topics are taught.

What you’ll learn

Who this course is for

• You are a computer vision practitioner that utilizes deep learning and OpenCV at your day job, and you’re eager to level-up your skills.
• You’re a developer who wants to learn computer vision/deep learning, complete your challenging project at work, and stand out from your coworkers (and land that big promotion).
• You are a college student who needs help with your homework, completing your final graduation project, or you simply want more than what your university offers.
• You are a researcher or scientist looking to apply computer vision and deep learning techniques to your research (and publish a paper).
• You have experience with machine learning and want to learn more about deep learning and neural networks.

Specificatoin of Complete Bundle

• Publisher: PyImageSearch University
• Teacher: Adrian Rosebrock
• Language: English
• Level: Intermediate
• Number of Course: 159
• Duration: 51 hours and 47 minutes

Content of 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

Requirements

• 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 Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle: None

Quality: 720p

Changes:

Version 2023/7 compared to 2021/10 has increased the number of 15 lessons and the duration of 9 hours and 45 minutes.

Download Links

Download Part 1 – 5 GB

Download Part 2 – 5 GB

Download Part 3 – 5 GB

Download Part 4 – 5 GB

Download Part 5 – 5 GB

Download Part 6 – 5 GB

Download Part 7 – 5 GB

Download Part 8 – 3.30 GB

File size

38.3 GB