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# Drunken Walk Generator and Lattice for Deep GNN Training
## Overview
This page documents the development of a generator function and a lattice structure designed to encompass a broad range of inte…
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https://doi.org/10.1021/acscentsci.6b00367 (preprint https://arxiv.org/abs/1611.03199)
> Recent advances in machine learning have made significant contributions to drug discovery. Deep neural netwo…
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I took it a long time ago and we used Keras and TF but I want to learn Pytorch now.
Are the videos and curriculum mostly the same, just implementation is in Pytorch?
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Pose a question about the one of the following possible readings: “[Dropout: A Simple Way to Prevent Neural Networks from Overfitting (Links to an external site.)](https://www.jmlr.org/papers/volume15…
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This demo integration will allow using Telegraph's Graph Processing Unit (it is an FPGA-based processor that allows for graph processing in hardware) from Deep to process links networks.
Demo acces…
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Pose a question about one of the following articles:
“[DeepWalk: Online Learning of Social Representations](https://dl.acm.org/doi/pdf/10.1145/2623330.2623732)”, 2014. B. Perozzi, R. Al-Rfou, S. S…
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Will you help me to solve this 👇 problem？
(base) root@autodl-container-5a49119952-0040f747:~/autodl-tmp/HAMIL# python train_cls.py --dataset_root /root/autodl-tmp/newLUAD/ --gpu 0
train i…
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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…
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Post your questions here about: “[Network Learning](https://docs.google.com/document/d/1hjXUvBRS779HDvbYXMKjyVbO3wVg6SaWNtxwof6s6LM/edit?usp=sharing)” & “Knowledge and Table Learning”, Thinking with D…
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Some ideas for figures to add to the PPT
- [ ] Linear regression, single-layer neural network
- [ ] Multilayer Perceptron with hidden layer
- [ ] Backpropagation
- [ ] Batch Normalization and al…