[Python] Astronomy Image Colorization using Machine Learning скачать в хорошем качестве

[Python] Astronomy Image Colorization using Machine Learning

Link of the Certified Course on this project: https://www.udemy.com/course/astronom... Check other astronomy courses here: https://spartificial.com/self-paced In this course, you will learn how to leverage machine learning techniques to generate galaxies and colorize black-and-white images from space. You will gain practical knowledge by building end-to-end projects, from understanding GANs to creating your own image colorization app using FastAPI and Streamlit. Course Highlights: Real-world Astronomy Applications: Work with real astronomical data to train your models. Project-Based Learning: Build multiple projects, including a Galaxy Generation project and a colorization web app. Hands-on with GANs: Deep dive into the technical details of GANs, WGANs, and Pix2Pix with step-by-step coding exercises. PyTorch & FastAPI: Learn how to use PyTorch for model building and FastAPI to deploy your models in production. Who This Course is For: Data science enthusiasts interested in Generative Adversarial Networks (GANs). Machine learning engineers looking to enhance their skills in computer vision and image generation. Astronomy buffs who want to apply machine learning to space image processing. Developers interested in building real-world ML apps using FastAPI and Streamlit. #python #astronomy #datascience #dataanalytics #imageprocessing