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.
مفاهیم کلیدی یادگیری ماشینی
Building Regression Models with scikit-learn
Data Engineering Pipeline Management with Apache Airflow
Tuning Kafka
AI Workshop: Hands-on with GANs Using Dense Neural Networks
Deep Learning with Python and Keras: Build a Model For Sentiment Analysis
آموزش مصور سازی داده های آماری با Seaborn
Applying Differential Equations and Inverse Models with R
آموزش ساخت مدل های Machine Learning
فیلم یادگیری Employing Ensemble Methods with scikit-learn