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Tensorflow Implementation Convolutional Neural Network for MNIST

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Convolutional Neural Networks for Digit Recognization (MNIST)

MNIST ("Modified National Institute of Standards and Technology") is the de facto “hello world” dataset of computer vision. Since its release in 1999, this classic dataset of handwritten images has served as the basis for benchmarking classification algorithms. As new machine learning techniques emerge, MNIST remains a reliable resource for researchers and learners alike.

mnist-cnn

Data

  • You can get a data, here
  • Or, use the Kaggle Download API: $ kaggle competitions download -c digit-recognizer

Usage

Train

$ python train.py

Evalutation

$ python eval.py

Inference

$ python inference.py

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Tensorflow Implementation Convolutional Neural Network for MNIST

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