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

Building Your First scikit-learn Solution

آموزش استفاده از PyTorch در کلود

آموزش تحلیل آماری بوسیله PyTorch

Building Statistical Summaries with R

Deep Learning with Python and Keras: Build a Model For Sentiment Analysis

Summarizing Data and Deducing Probabilities

آموزش ساخت مدل های Machine Learning

پایه های آمار و احتمال برای یادگیری ماشینی

Building Features from Text Data
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