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Image Processing and Generative Models

Uncover the art and science behind image manipulation and generation, exploring the transformative potential of cutting-edge technologies. This journey is tailored to equip you with the skills to reimagine visual data, from classification to generation, revolutionizing the way we interact with and create images.

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4 Guided Projects

About this Learning Path

Immerse yourself in the intricate blend of art and science, showcasing the transformative impact of image processing and generative models on diverse applications.

The learning path begins with an exploration of image classification using advanced tools such as Hugging Face for Crypto Beans. Learn how state-of-the-art technologies can be applied to classify and analyze images, unraveling the potential for enhanced image understanding and interpretation.

Venture further into the realm of generative models with the course "Creating Anime Characters using DCGANs and Keras." Delve into the fascinating world of Deep Convolutional Generative Adversarial Networks (DCGANs) and Keras, discovering the possibilities of generating lifelike and unique anime characters. Witness the fusion of artistry and technology as you grasp the concepts of generative modeling.

The learning path progresses with "Build an Image Style Transfer Tool using CycleGANs," inviting you to explore the realm of style transfer in images. Uncover the secrets behind transforming the artistic style of images, offering a creative and transformative approach to visual content that extends beyond conventional boundaries.

Concluding the journey, "Train a Hotdog Image Recognition Model with Python" takes you through the practical aspects of image recognition, demonstrating how machine learning models can be trained to identify specific objects. This hands-on experience reinforces the broader applications of image processing, from creative endeavors to practical solutions in various industries.

Join us on this exciting learning path as we unravel the fascinating world of image processing and generative models. Gain the skills and insights needed to redefine visual data, from classification to generation, and become part of the creative and innovative landscape where technology meets artistic expression.
Average Course Rating

4.5 out of 5

Skills You Will Learn

Python, Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, Generative Adversarial Networks, Image Processing, Web Development, PyTorch, Generative AI, LLM

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  • Image classification Using hugging face for Crypto Beans
    Intermediate Guided Project Computer Vision

    Image classification Using hugging face for Crypto Beans

    The characteristics of currency are durability, portability, divisibility, uniformity, limited supply, and acceptability; all these describe beans. You are a founder of a Crypto company BeanStock that uses beans to back up crypto tokens. The token has exploded in popularity, so you need different beans for different tokens. Sorting the beans is difficult, so you fine-tune Hugging Face's pre-trained Transformers and PyTorch vision on bean dataset, getting state-of-the-art performance.

    4.3
    (141 Reviews)
    564 Enrolled
    1 Hour
  • Creating anime characters using DCGANs and  PyTorch
    Intermediate Guided Project Artificial Intelligence

    Creating anime characters using DCGANs and PyTorch

    Mass production of millions of unique anime characters is nearly impossible for even the most skilled painter, but it becomes feasible with the use of machine learning methods. In this guided project, you will have the opportunity to build machine learning models and generate anime characters on your own. Furthermore, you will explore the Deep Convolutional Generative Adversarial Networks (DCGANs) method, which is specifically designed for large-scale anime production.

    4.6
    (81 Reviews)
    581 Enrolled
    2 Hours
  • Build an Image Style Transfer Tool using CycleGANs
    Advanced Guided Project Deep Learning

    Build an Image Style Transfer Tool using CycleGANs

    In this guided project, we will teach you to build a style transfer tool that can "translate" photos into Monet-esque paintings using CycleGANs. We will study the architecture of CycleGANs and then we will build it by breaking it down into multiple parts.

    4.7
    (257 Reviews)
    752 Enrolled
  • Train a Hotdog Image Recognition Model with Python
    Intermediate Guided Project Artificial Intelligence

    Train a Hotdog Image Recognition Model with Python

    We all know that machines can do a lot these days, including recognizing whether or not an image has a certain object in it. But did you know that you, too, can train a model to do just that? In this guided project, you’ll learn how to train a model in Python with PyTorch, a machine learning library, to detect if a picture has a hotdog in it. This process can be repeated with any object, whether it is a bird, a plane or even Superman!

    4.4
    (325 Reviews)
    2.52k+ Enrolled
    2 Hours

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