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Learning Resources

I found the following material useful for completing this project - in this order of study:

  1. Machine Learning by Stanford University(weeks 1-5) - Useful for understanding loss functions, optimization methods, and the basic principles of how neural networks function Note: This has now been replaced by

  2. Introduction to Computer Vision and Image Processing(weeks 1-2) - Useful for understanding basic image structure & manipulation

  3. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning - Great introduction to using tensorflow to set up deep neural networks (DNNs) and convolutional neural networks (CNNs)

  4. Convolutional Neural Networks in TensorFlow

  5. Implementing GridSearchCV for hyperparameter tuning in Keras