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This repository holds one of my first projects in Deep Learning. The intent behind doing this project was learning the practical subtleties behind implementing a Deep Learning model, training and evaluating it, and finally tuning it's hyper-parameters in an iterative manner. The actual model is an AlexNet based CNN trained on the CIFAR-10 data s…

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pr97/CIFAR-10-CNN-Classifier

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CIFAR-10 Convolutional Neural Network Classifier

Language used: Python (verion=3.6)

Deep Learning framework used: Tensorflow (verion=1.4.0)

This project is a CNN based image classifier. The architecture for the Deep Learning model is a slightly modified AlexNet (see AlexNet.png (image taken from Andrew Ng's deeplearning.ai specialization)). Please see AlexNet Variation for CIFAR-10.png for modifications.

The code is structured across multiple .py files:

  • model.py holds the actual script for training and testing the model.
  • Other .py files hold the dependencies for running model.py

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This repository holds one of my first projects in Deep Learning. The intent behind doing this project was learning the practical subtleties behind implementing a Deep Learning model, training and evaluating it, and finally tuning it's hyper-parameters in an iterative manner. The actual model is an AlexNet based CNN trained on the CIFAR-10 data s…

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