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The MNIST handwritten digit classification problem is a standard dataset used in computer vision and deep learning. a random 28x28 image – each pixel is randomly black, white or some shade of gray. The result is that random points look like noise.

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README.md
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code-00-16.ipynb
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-MNIST

Using MNIST and TensorFlow MNIST is a simple computer vision dataset. It consists of images of handwritten digits like these:

alt_text This tutoral is a step by step on how to solve a data science project. From reading in the data to preprocessing the data and running a few ML alg on the data set.

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The MNIST handwritten digit classification problem is a standard dataset used in computer vision and deep learning. a random 28x28 image – each pixel is randomly black, white or some shade of gray. The result is that random points look like noise.

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