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Machine Learning – Modern Computer Vision & Generative AI

You're reading from Machine Learning – Modern Computer Vision & Generative AI Use KerasCV, Python, Tensorflow, JAX for Image Recognition, Object Detection, and Stable Diffusion

Product type Video

Published in Jan 2024

Last Updated in May 2025

Publisher Packt

ISBN-13 9781835883907

Length 6hrs 4mins

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Computer Vision

Author (1):

Lazy Programmer

View More author details

Table of Contents (8) Chapters

1. Welcome

2. Image Classification, Fine-Tuning and Transfer Learning FREE CHAPTER

3. Object Detection

4. Generative AI with Stable Diffusion

5. Setting Up Your Environment (Appendix/FAQ by Student Request)

6. Extra Help With Python Coding for Beginners (Appendix/FAQ by Student Request)

7. Effective Learning Strategies for Machine Learning (Appendix/FAQ by Student Request)

8. Appendix / FAQ Finale

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Authors (1)

Lazy Programmer

Lazy Programmer

The Lazy Programmer, a distinguished online educator, boasts dual master's degrees in computer engineering and statistics, with a decade-long specialization in machine learning, pattern recognition, and deep learning, where he authored pioneering courses. His professional journey includes enhancing online advertising and digital media, notably increasing click-through rates and revenue. As a versatile full-stack software engineer, he excels in Python, Ruby on Rails, C++, and more. His expansive knowledge covers areas like bioinformatics and algorithmic trading, showcasing his diverse skill set. Dedicated to simplifying complex topics, he stands as a pivotal figure in online education, adeptly navigating students through the nuances of data science and AI.

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