Forward from: مهندسی داده ها
📽 دوره آموزشی پروژه محور شبکه های عصبی گرافی
🎞Graph Neural Network Project-based Workshop
🧑💻مدرس: احمد راستی
🏛 ارشد علوم داده، دانشگاه صنعتی اصفهان
📄سرفصل های اصلی دوره:
✔️ Deep Learning for Graphs
* Local network neighborhoods
* Describe aggregation strategies
* Define computation graphs
* Permutation Invariant / Equivariant
✔️Graph Convolutional Networks
* Describe the Model, Parameters, Training
* Fit Model
* How to Train A GNN
* Unsupervised and Supervised Training
✔️GNNs Subsume CNNs and Transformers
* GNN vs CNN
* GNN vs Transformer
✔️General GNN Framework
* Kind of Message and Aggregation
* Layer Connectivity – Drop-out, Batch Norm
* Graph Augmentation
* Learning Objective
* Receptive field and Over-Smoothing
✔️Graph Learning with Python
*Libraries (PyTorch Geometric, Graph Nets, Deep Graph)
* Cades
📡کسب اطلاعات بیشتر در
🏆bigdataworld.ir/product/graph-neural-networks-workshop/
⁉️مشاهده سایر دوره ها:
🏆bigdataworld.ir/shop
🎖ارتباط با ما
تلگرام | اینستاگرام | یوتیوب | لینکدین
🎞Graph Neural Network Project-based Workshop
🧑💻مدرس: احمد راستی
🏛 ارشد علوم داده، دانشگاه صنعتی اصفهان
📄سرفصل های اصلی دوره:
✔️ Deep Learning for Graphs
* Local network neighborhoods
* Describe aggregation strategies
* Define computation graphs
* Permutation Invariant / Equivariant
✔️Graph Convolutional Networks
* Describe the Model, Parameters, Training
* Fit Model
* How to Train A GNN
* Unsupervised and Supervised Training
✔️GNNs Subsume CNNs and Transformers
* GNN vs CNN
* GNN vs Transformer
✔️General GNN Framework
* Kind of Message and Aggregation
* Layer Connectivity – Drop-out, Batch Norm
* Graph Augmentation
* Learning Objective
* Receptive field and Over-Smoothing
✔️Graph Learning with Python
*Libraries (PyTorch Geometric, Graph Nets, Deep Graph)
* Cades
📡کسب اطلاعات بیشتر در
🏆bigdataworld.ir/product/graph-neural-networks-workshop/
⁉️مشاهده سایر دوره ها:
🏆bigdataworld.ir/shop
🎖ارتباط با ما
تلگرام | اینستاگرام | یوتیوب | لینکدین