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A repository with my course practice in MGMT590 Machine Learning at Krannert School of Management, Purdue University.

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lilianchi/MINST-Recognition-with-vae

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MINST-Recognition-with-vae (Variational Autoencoder)

There are two models, with linear and CNN, respectively. VAE is with encoder/ decoder.

Datset

classic MNIST handwritten digit dataset, which contains digit 0-9 images of size 28*28. We build a logistic regression model to predict the class of digit.

Programming language

Python

Authors

  • Yichen Zhang (Professor)
  • Li-Ci Chuang

Libraries

  • matplotlib.pyplot
  • pandas
  • numpy
  • tensorflow.keras
  • tensorflow.keras.layers
  • tensorflow.keras.optimizers
  • tensorflow.keras.models
  • mse, binary_crossentropy from tensorflow.keras.losses
  • tensorflow.keras.backend
  • plot_model from tensorflow.keras.utils
  • time
  • mnist from tensorflow.keras.datasets #open dataset

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A repository with my course practice in MGMT590 Machine Learning at Krannert School of Management, Purdue University.

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