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    [CS 297 Proposal]

    [Del 1]

    [Del 2]

    [Del 3]

    [Del 4]

Exploring TensorFlow with MNIST dataset

This deliverable involves exploring TensorFlow MNIST dataset.
MNIST dataset is hosted on
Yaan Lecun's website. This dataset contains 70000 images of handwritten digits.
    These images are divided into three parts as follow:
  1. 55000 data points of training data (mnist.train)
  2. 10000 points of test data (mnist.test)
  3. 5000 points of validation data (mnist.validation)
    Each MNIST data point has 2 parts
  1. Image of a handwritten digit (mnist.train.images)
  2. Corresponding label (mnist.train.label)
Related Links:
Code on GITHUB repository - Redirected to github
My understanding of Tensorflow and Code - PPT(Downloadable)