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📽 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:
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20.1K viewsSep 17, 2023 at 08:17

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Create: 2023-09-17
Last Update: 2024-06-08 11:43:27

📽 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

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Date: 2024-06-08| مدرسه علم داده

Importantly, that investor viewpoint is not new. It cycles in when conditions are right (and vice versa). It also brings the ineffective warnings of an overpriced market with it.Looking toward a good 2022 stock market, there is no apparent reason to expect these issues to change.

That growth environment will include rising inflation and interest rates. Those upward shifts naturally accompany healthy growth periods as the demand for resources, products and services rise. Importantly, the Federal Reserve has laid out the rationale for not interfering with that natural growth transition.It's not exactly a fad, but there is a widespread willingness to pay up for a growth story. Classic fundamental analysis takes a back seat. Even negative earnings are ignored. In fact, positive earnings seem to be a limiting measure, producing the question, "Is that all you've got?" The preference is a vision of untold riches when the exciting story plays out as expected.

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