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Hi, Yiming!
Thanks for open-sourcing your work. Could you please tell me where to find Neural-JSDF/learning/nn-learning?
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https://github.com/modern-fortran/neural-fortran
Issues:
* [x] https://github.com/lfortran/lfortran/issues/4745
* [ ] #4759
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- [x] Implement new matrix class `ad.matrix.convex_relu` that takes in `mat` (original matrix), `mask` (D matrices).
- [x] Implement NN for Boston Housing dataset and train with adamw.
- [x] Implem…
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Hi
Thanks for the tutorial, it is really helpful!! However, May I ask few questions about the neural response prediction part?
1. For neural data, the shape is (neuron number, time), in here, is th…
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# 1 网络简介 - IT教程网
近年来,深度学习网络取得了显著的进步,尤其是在处理图像、文本和时间序列数据方面。各种网络结构被提出并应用于不同类型的问题,推动了诸多领域的创新发展。本篇教程将聚焦于一些主流的深度学习网络结构,包括LSTM、BERT、ResNet等,旨在提供这些网络的基本
[https://zglg.work/ai-30-neural-networks/1/](https://…
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# 56 CycleGAN之风格重建 - IT教程网
在上一篇文章中,我们介绍了CycleGAN神经网络的基本结构及其工作原理。这一篇将重点讨论CycleGAN在风格重建中的应用,以及如何通过该模型实现图像间的风格迁移。 什么是风格重建?风格重建是一种将某一幅图像的内容与另一幅图像的风格结合的技术。典
[https://zglg.work/ai-30-neural-networks/56/](…
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# 2 引言之应用场景 - IT教程网
随着深度学习技术的快速发展,各种神经网络模型在多个领域的应用得到了广泛的关注和应用。在本篇讨论中,我们将重点关注一些主流网络架构的实际应用场景,特别关注它们在语音识别、计算机视觉、自然语言处理等领域中的具体案例,以便为后续的“LSTM之原理解析”做铺垫。 1. 自然语言处理中的应用BERTBERT(Bidir
[https://zglg.work/ai-…
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**Describe the bug**
Hello, I got an `ImportError` when trying to import `posterior_nn` from `neural_nets`.
**To Reproduce**
`sbi` version 0.23.1
```
>>> from sbi.neural_nets import posterior_n…
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From [Algorithmic Simplicity](https://www.youtube.com/@algorithmicsimplicity):
- [x] [Why Does Diffusion Work Better than Auto-Regression? - YouTube](https://www.youtube.com/watch?v=zc5NTeJbk-k)
-…
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i want to create a project similar to this where you can make a plane and it has to learn to fly it as far as it can, but i don't know what module you used is. maybe a custom module? if you can, can y…