DhananjayAshok / FruitFinder

An exploration of various Convolutional Neural Network architectures and techniques on the Fruits-360 Dataset. This serves as the source code for the Google Colab Notebook which handles this content

Home Page:https://colab.research.google.com/drive/1llq3V7nVI-lfHplR1ZMrHSN0_UoDTUHP

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FruitFinder

An exploration of various Convolutional Neural Network architectures and techniques on the Fruits-360 Dataset. This serves as the source code for the Google Colab Notebook which handles this content

Techniques Used

  • Convolutional Neural Networks with TensorFlow and Keras
  • Skip Connections
  • Inception Modules
  • Dropout and Batch Normalization
  • Activation Analysis

Please see the notebook for the implementation of these techniques.

About

An exploration of various Convolutional Neural Network architectures and techniques on the Fruits-360 Dataset. This serves as the source code for the Google Colab Notebook which handles this content

https://colab.research.google.com/drive/1llq3V7nVI-lfHplR1ZMrHSN0_UoDTUHP


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Language:Python 100.0%