-
I have looked into the post "Estimating an Optimal Learning Rate For a Deep Neural Network", it suggested to use training loss to determine the best learning rate to use or a range of learning rate to…
-
Community detection is an important application of GNNs. In the paper "Supervised Community Detection with Line Graph Neural Networks", published at ICLR 2019, LGNN is proposed. LGNN operates simultan…
-
Hello everyone, i am facing this issue while running build/sbt command can anybody guide me what is error about and its solution please :)
build/sbt assembly
Using /usr/lib/jvm/java-8-oracle as …
-
Subscribe to this issue and stay notified about new [daily trending repos in Jupyter Notebook](https://github.com/trending/jupyter-notebook?since=daily).
-
in sac.py
s = torch.tensor([t.s for t in self.replay_buffer]).float().to(device)
Traceback (most recent call last):
File "D:\PycharmProject\Deep-reinforcement-learning-with-pytorch-master\Char09 …
-
1996 fantasies: [The World-Wide Web as a Super-Brain: from metaphor to model](https://web.archive.org/web/20160304113729/http://pespmc1.vub.ac.be/papers/WWW-Super-Brain.pdf) in: Cybernetics and System…
-
# Universality of Neural Networks on Sets vs. Graphs | ICLR Blogposts 2023
Universal function approximation is one of the central tenets in theoretical deep learning research. It is the question of w…
-
deep learning on graph
pytorch has very nice tools for gcns, including:
DGL: https://github.com/dmlc/dgl
PyTorch Geometric : https://github.com/rusty1s/pytorch_geometric
…
-
**Choose Topics for Presentation**
- [x] Q-learning
- [x] Deep Neural Network
- [x] Artificial General Intelligence
- [x] Artificial Quantum Intelligence
- [x] Cognitive Science
- [ ] Quantum Co…
ErSKS updated
4 years ago
-
In https://software.intel.com/content/www/us/en/develop/articles/accelerate-int8-inference-performance-for-recommender-systems-with-intel-deep-learning.html, graph optimization includes the following：…