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**MNIST Dataset**
The MNIST dataset is a large collection of handwritten digits that's widely used for training and testing in machine learning, especially in the area of image processing. Here's a…
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# Mnist
- 美国国家标准与技术研究所, National Institute of Standards and Technology (NIST).
- 250 个不同人手写的数字构成, 其中 50% 是高中学生, 50% 来自人口普查局 (the Census Bureau) 的工作人员
## Samples
## Download
Da…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Fashion MNIST Image Classification
:red_circle: **Aim** : This project focuses on image classification…
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I am trying to replicate the MNIST classification experiment through ECC by following the model configuration reported in your paper. There are some issues that I was not able to solve:
1 - the descr…
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I am curious how the classification setting works. You mention in your paper that you use the cross entropy loss.
Do you use as final layer a softmax? How do you propagate the variance through the…
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I tried to use sr for mnist classification training, but the results were not good.
I hope you can help me see where I need to improve
MNIST is 28*28 images, 10 classes label.
```
using SymbolicR…
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Hi, I want to ask a simple problem about the mnist classification example. Images in mnist are treated as sequences by expanding them to 1D, then each image gets a probability distribution. But imag…
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MNIST: Classification with nonlinearity
Try experiment with L2 set to what we have now and an experiment without L2
Start with easy nonlinearities like tanh and then try ReLU
for k in {1..14}; d…
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### ML-Crate Repository (Proposing new issue)
🔴 **[Project Addition]: Image Classification using Convolutional Neural Networks (CNN)**
🔴 **Description:** Create a CNN-based model for image class…
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1. Why is the initial classification accuracy on MNIST dataset is up to 89% even before any training has taken place
2. the command "from spikingjelly.activation_based.ann2snn.sample_models import mn…