Using Denoising AutoEncoders (13.1)

Поділитися
Вставка
  • Опубліковано 11 чер 2024
  • This video presents autoencoders in Python! In this video, we dive deep into the world of autoencoders, a type of artificial neural network used for unsupervised learning. We'll start by exploring the basics: what autoencoders are, how they work, and why they're so crucial in the realm of machine learning and data compression. Then, we'll shift our focus to Python, demonstrating how to implement these networks using popular libraries like PyCharm. Whether you're a beginner curious about neural networks or a seasoned data scientist looking to expand your toolkit, this video will provide you with practical insights and hands-on examples to help you master autoencoders in Python. So, let's get started and unlock the potential of autoencoders in your projects!
    Code for This Video:
    github.com/jeffheaton/app_dee...
    ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~
    📖 Textbook - Coming soon
    😸🐙 GitHub - github.com/jeffheaton/app_dee...
    ▶️ Play List - • 2023 PyTorch Version A...
    🏫 WUSTL Course Site - sites.wustl.edu/jeffheaton/t8...
    ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~
    🖥️ Website: www.heatonresearch.com/
    🐦 Twitter - / jeffheaton
    😸🐙 GitHub - github.com/jeffheaton
    📸 Instagram - / jeffheatondotcom
    🦾 Discord: / discord
    ▶️ Subscribe: ua-cam.com/users/heatonresea...
    ~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~
    🅿 Patreon - / jeffheaton
    🙏 Other Ways to Support (some free) - www.heatonresearch.com/suppor...
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    #autoencoder #compression #PyTorch #DeepLearning #PyTorchTutorial #MachineLearning #pytorch
  • Наука та технологія

КОМЕНТАРІ • 2