Instructor: Packt - Course Instructors

What you'll learn

  •   Understand how to fine-tune pre-trained models for image classification tasks.
  •   Gain expertise in object detection techniques, including dataset formats and advanced loss functions.
  •   Learn how to generate images using Stable Diffusion and explore its architecture.
  •   Implement practical machine learning projects using KerasCV and Python in real-world scenarios.

    • Skills you'll gain

  •   Development Environment
  •   Software Installation
  •   Artificial Intelligence and Machine Learning (AI/ML)
  •   Machine Learning
  •   Supervised Learning
  •   Python Programming
  •   Generative AI
  •   Deep Learning
  •   Test Driven Development (TDD)
  •   Image Analysis
  •   NumPy
  •   Jupyter
  •   Keras (Neural Network Library)
  •   Computer Vision

    • There are 8 modules in this course

    This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Embark on a transformative journey through modern machine learning, computer vision, and generative AI with this comprehensive course. Explore industry-leading techniques like image classification, object detection, and cutting-edge generative models powered by KerasCV and Stable Diffusion. Gain hands-on experience with tools and frameworks that make these advanced topics approachable and actionable. The course begins with the fundamentals of pre-trained models and transfer learning, empowering you to implement and fine-tune image classifiers in Python. From there, dive into object detection, mastering dataset formats, augmentation techniques, and loss functions while leveraging KerasCV for efficient fine-tuning. Next, delve into generative AI with Stable Diffusion, uncovering its architecture, mechanics, and codebase. Learn to create stunning visuals and understand how these models condition on prompts, offering insights into the frontier of AI-driven creativity. Additional modules provide guidance on Python coding, environment setup, and learning strategies, ensuring that learners of all levels can succeed. This course is designed for learners interested in deep learning, computer vision, and AI creativity. A basic understanding of Python and machine learning is recommended. Whether you're a developer, researcher, or enthusiast, this intermediate-level course will elevate your skills and open new horizons in AI innovation.

    Image Classification, Fine-Tuning and Transfer Learning

    Object Detection

    Generative AI with Stable Diffusion

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

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

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

    Appendix / FAQ Finale

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