Machine Learning – Modern Computer Vision & Generative AI

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.

Type
video
Category
Programming
publication date
2024-01-12
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

no of pages
0
duration
0
key features
Comprehensive coverage ranging from basic image classification to advanced generative AI techniques * Focuses on real-world uses of AI in image analysis and content generation * Hands-on experience with Stable Diffusion for generative art
approach
The course adopts a hands-on, project-based learning approach, emphasizing practical application of concepts through real-world examples and interactive exercises. This methodology ensures a deep, experiential understanding of computer vision and generative AI, enabling learners to apply their knowledge effectively in various scenarios.
audience
This course is ideal for individuals ranging from beginners to advanced learners who possess a fundamental understanding of machine learning and Python programming. It is especially beneficial for those keen on delving into the realm of computer vision using KerasCV.
meta description
Dive into the future of AI with "Machine Learning: Modern Computer Vision & Generative AI", a comprehensive course that merges the power of KerasCV and Stable Diffusion for groundbreaking image analysis and generative art.
short description
This is an in-depth course that delves into computer vision and generative AI using tools like KerasCV, Python, TensorFlow, PyTorch, and JAX. It covers image recognition, object detection, and the use of Stable Diffusion for generating images from text, focusing on both practical applications and creative potential in digital media and art.
subtitle
Use KerasCV, Python, Tensorflow, JAX for Image Recognition, Object Detection, and Stable Diffusion
keywords
Machine Learning, Computer Vision, Generative AI, KerasCV, TensorFlow, PyTorch, JAX , Image Recognition, Object Detection, Stable Diffusion.
Product ISBN
9781835883907