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What is a good accuracy on MNIST?

What is a good accuracy on MNIST?

The MNIST Handwritten Digits dataset is considered as the “Hello World” of Computer Vision. Most standard implementations of neural networks achieve an accuracy of ~(98–99) percent in correctly classifying the handwritten digits.

How many parameters does MNIST have?

(a) Model reduction in a linear model classifying MNIST data using a product of 10 sums of K matrices for various K. The reference model has a total of 7850 trainable parameters.

What is MNIST dataset?

The MNIST dataset is an acronym that stands for the Modified National Institute of Standards and Technology dataset. It is a dataset of 60,000 small square 28×28 pixel grayscale images of handwritten single digits between 0 and 9.

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What is MNIST used for?

The MNIST database (Modified National Institute of Standards and Technology database) is a large database of handwritten digits that is commonly used for training various image processing systems. The database is also widely used for training and testing in the field of machine learning.

Who is the best in MNIST?

MNIST 50 results collected

Result Method Venue
0.46\% Deep Convolutional Neural Networks as Generic Feature Extractors IJCNN 2015
0.47\% Network in Network ICLR 2014
0.52 \% Trainable COSFIRE filters for keypoint detection and pattern recognition PAMI 2013
0.53\% What is the Best Multi-Stage Architecture for Object Recognition? ICCV 2009

Can a neural network reach 100\% accuracy?

If your neural network got the line right, it is possible it can have a 100\% accuracy. Remember that a neuron’s output (before it goes through an activation function) is a linear combination of its inputs so this is a pattern that a network consisting of a single neuron can learn.

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Where can I get MNIST dataset?

More details about the dataset, including algorithms that have been tried on it and their levels of success, can be found at http://yann.lecun.com/exdb/mnist/index.html. The dataset is made available under a Creative Commons Attribution-Share Alike 3.0 license.

Is MNIST dataset balanced?

The EMNIST Digits and EMNIST MNIST dataset provide balanced handwritten digit datasets directly compatible with the original MNIST dataset.

Where can I find MNIST dataset?

Acknowledgements. More details about the dataset, including algorithms that have been tried on it and their levels of success, can be found at http://yann.lecun.com/exdb/mnist/index.html. The dataset is made available under a Creative Commons Attribution-Share Alike 3.0 license.

Why Mnist is a good data set?

It is an extremely good database for people who want to try machine learning techniques and pattern recognition methods on real-world data while spending minimal time and effort on data preprocessing and formatting. Its simplicity and ease of use are what make this dataset so widely used and deeply understood.

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Is Mnist dataset balanced?

How do you get high accuracy?

8 Methods to Boost the Accuracy of a Model

  1. Add more data. Having more data is always a good idea.
  2. Treat missing and Outlier values.
  3. Feature Engineering.
  4. Feature Selection.
  5. Multiple algorithms.
  6. Algorithm Tuning.
  7. Ensemble methods.