Machine Learning – Modern Computer Vision & Generative AI
Год выпуска: January 2024
Производитель: Published by Packt Publishing via O'Reilly Learning
Сайт производителя:
https://learning.oreilly.com/course/machine-learning/9781835883907/
Автор: Lazy Programmer
Продолжительность: 6h 6m
Тип раздаваемого материала: Видеоурок
Язык: Английский + субтитры
Описание:
This is an innovative course tailored for those who aspire to master the dynamic fields of computer vision and generative artificial intelligence. This course offers a deep dive into the world of image recognition, object detection, and the magic of generative AI using tools like KerasCV, Python, TensorFlow, PyTorch, and JAX.
This course guides you from the fundamentals of image classification to the intricacies of object detection, starting with the KerasCV library for deep learning. You'll learn to effectively use and fine-tune pre-trained models, create custom datasets for object detection, using tools like the LabelImg GUI program, and apply these skills to tackle real-world challenges. A key focus is the generative AI segment, particularly on Stable Diffusion, where you'll learn to generate detailed images from text, unlocking your creative potential in this advanced AI domain.
This course offers a progressive learning path from basic concepts to advanced techniques, catering to both professional development and creative pursuits in AI. By the end, you'll have the confidence and tools needed for a variety of applications in the ever-evolving field of generative artificial intelligence.
What you will learn
• Harness the power of the KerasCV library for efficient deep learning
• Master image classification techniques using pre-trained models
• Implement object detection in real-world scenarios
• Fine-tune models for tailored applications and datasets
• Create custom object detection datasets with LabelImg
• Understand the integration of TensorFlow, PyTorch, and JAX in computer vision
Содержание
Chapter 1 Welcome
Chapter 2 Image Classification, Fine-Tuning and Transfer Learning
Chapter 3 Object Detection
Chapter 4 Generative AI with Stable Diffusion
Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)
Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)
Chapter 8 Appendix FAQ Finale
Файлы примеров: отсутствуют
Формат видео: MP4
Видео: AVC, 1280×720, 16:9, 30.000 fps, 3 000 kb/s (0.017 bit/pixel)
Аудио: AAC, 44.1 KHz, 2 channels, 128 kb/s, CBR
