در حال حاضر محصولی در سبد خرید شما وجود ندارد.

If you’re looking for hands-on AI practice, this workshop-style coding course was designed for you. Join instructor Janani Ravi as she shows you how to build a neural network with PyTorch Lightning, the open-source library from Python that provides an interface for the popular deep learning framework PyTorch. Explore the core components of building a neural network with PyTorch, including setting up the virtual environment, loading and exploring data, preprocessing data for training, creating and training a simple neural network, setting up the Dataset and DataLoader, visualizing losses, and much more. Along the way, Janani covers the basics of using modules in PyTorch Lightning to build, train, and evaluate both regression and classification models.
This course was created by Loonycorn. We are pleased to host this content in our library.
در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

Understanding Statistical Models and Mathematical Models

Data Management with Apache NiFi

Troubleshooting and Debugging Kafka

Combining and Shaping Data

Implementing Machine Learning Workflow with Weka

Solving Problems with Numerical Methods

آموزش Scrape صفحات وب به زبان Python

آموزش ساخت چارت و مصور سازی داده ها بوسیله Qlik Sense

Foundations of PyTorch

Data Analysis Functions and Techniques in Microsoft Excel
✨ تا ۷۰% تخفیف با شارژ کیف پول 🎁
مشاهده پلن ها