جمع جزء: 139,000 تومان
- × 1 عدد: SwiftUI Navigation API: A 1-Hour Crash Course - 139,000 تومان
Graph neural networks—neural networks capable of working with graph data structures—apply deep learning to data structures to reveal fresh insights from their graphs. In this course, learn about the different use cases of graph modeling and how to train a graph neural network and evaluate its results. Instructor Janani Ravi starts with some background on graphs, including terminology and graph types. She then introduces graph machine learning concepts and the basics of graph neural networks. The last half of the course consists of exercises to help you set up and train graph neural networks using PyTorch Geometric, visualize graphs using NetworkX, and training a graph convolutional network for node labeling using the Cora dataset.
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.
Expediting Deep Learning with Transfer Learning: PyTorch Playbook
Using PyTorch in the Cloud: PyTorch Playbook
Troubleshooting and Debugging Kafka
Data Analysis Functions and Techniques in Microsoft Excel
فیلم یادگیری Deploying PyTorch Models in Production: PyTorch Playbook
آموزش ارائه ، پردازش و آماده سازی داده ها
Solving Problems with Numerical Methods
Representing, Processing, and Preparing Data
آموزش انتقال استایل ها بوسیله PyTorch
Building Machine Learning Models on Databricks
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