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.

Building Statistical Summaries with R

Using PyTorch in the Cloud: PyTorch Playbook

Solving Problems with Numerical Methods

Data Validation Techniques in Microsoft Excel

Data Labeling for Machine Learning

Implementing Bootstrap Methods in R

Building Data Visualizations Using Matplotlib

Building Classification Models with scikit-learn

آموزش استفاده از PyTorch در کلود

AI Text Summarization with Hugging Face
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