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## š Feature
Support for Generative Models
## Motivation
**DGL** is intuitive to use and there are some great examples. However, **DGL** lacks generative models.
I am wondering whether there ā¦
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We should implement the PyTorch backend (#1014) and an option for full end-to-end differentiable operation so that [Neftci et al. (2019)](https://arxiv.org/abs/1901.09948) method can be used for trainā¦
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I used the following regular expression:
```
\B\[[1-9][0-9]*\]\s+((((.*?){2},)*)+\s*)(["ā\s].*?["ā\s]){0}\s*.*[0-9]
````
and the following test text:
```
REFERENCES
[23] Jia Deng, Wei Dong, R. ā¦
syt2 updated
4 months ago
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Pose a question about the one of the following possible readings:
ā[Dropout: A Simple Way to Prevent Neural Networks from Overfitting](https://www.jmlr.org/papers/volume15/srivastava14a/srivastavaā¦
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related paper
|ęč¦|
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|Deep Convolutional Neural Networks (DCNNs) have recently shown state of the art performance in high level vision tasks, such as image classification and object detectionā¦
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can we use deep learning or an ai model to return only good matches?
Yes, deep learning and AI models can be used to improve feature matching by learning more discriminative feature descriptors or ā¦
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Post your questions here about: ā[Network Learning](https://docs.google.com/document/d/1hjXUvBRS779HDvbYXMKjyVbO3wVg6SaWNtxwof6s6LM/edit?usp=sharing)ā & āKnowledge and Table Learningā, Thinking with Dā¦
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## Description
Implement MNIST dataset using Convolutional Neural Networks (CNNs). Use Max Pooling Layers, Conv2d layers, Dense layers.
Use your own strategy and try to achieve the maximum possible ā¦
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I have an inverse problem where the parameter function is a function of the solution, what is the correct way to implement it?
```julia
using ModelingToolkit, NeuralPDE, Lux, Random, NNlib
using Opā¦
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Thank you for the library. I am curious if we can use both the libraries to write functions in the same model (say, many FC layers with the output layer is a DenseKAN). If this is not the case, would ā¦