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Machine Learning – Modern Computer Vision & Generative AI
Machine Learning – Modern Computer Vision & Generative AI

Machine Learning – Modern Computer Vision & Generative AI: Use KerasCV, Python, Tensorflow, JAX for Image Recognition, Object Detection, and Stable Diffusion

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Profile Icon Lazy Programmer
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€82.99
Video Feb 2024 6hrs 4mins 1st Edition
Video
€82.99
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Renews at €18.99p/m
Arrow left icon
Profile Icon Lazy Programmer
Arrow right icon
€82.99
Video Feb 2024 6hrs 4mins 1st Edition
Video
€82.99
Subscription
Free Trial
Renews at €18.99p/m
Video
€82.99
Subscription
Free Trial
Renews at €18.99p/m

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Key benefits

  • 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

Description

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.

Who is this book for?

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.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Feb 29, 2024
Publication date : Jan 12, 2024
Length: 6hrs 4mins
Edition : 1st
Language : English
ISBN-13 : 9781835883907
Category :
Languages :
Tools :

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Last updated date : Feb 29, 2024
Publication date : Jan 12, 2024
Length: 6hrs 4mins
Edition : 1st
Language : English
ISBN-13 : 9781835883907
Category :
Languages :
Tools :

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Table of Contents

8 Chapters
Welcome Chevron down icon Chevron up icon
Image Classification, Fine-Tuning and Transfer Learning Chevron down icon Chevron up icon
Object Detection Chevron down icon Chevron up icon
Generative AI with Stable Diffusion Chevron down icon Chevron up icon
Setting Up Your Environment (Appendix/FAQ by Student Request) Chevron down icon Chevron up icon
Extra Help With Python Coding for Beginners (Appendix/FAQ by Student Request) Chevron down icon Chevron up icon
Effective Learning Strategies for Machine Learning (Appendix/FAQ by Student Request) Chevron down icon Chevron up icon
Appendix / FAQ Finale Chevron down icon Chevron up icon
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