capstone_project

Datasets and Inputs:

The required data and inputs will be obtained from the kaggle competition: https://www.kaggle.com/c/dogs-vs-cats

References: https://machinelearningmastery.com/display-deep-learning-model-training-history-in-keras/

https://www.kaggle.com/c/dogs-vs-cats

https://www.petfinder.com/dogs/lost-and-found-dogs/why-microchip/

https://en.wikipedia.org/wiki/Transfer_learning

https://eprint.iacr.org/2008/126.pdf

https://github.com/sangamek/dog-project

https://shaoanlu.wordpress.com/2017/05/29/sgd-all-which-one-is-the-best-optimizer-dogs-vs-cats-toy-experiment/

https://machinelearningmastery.com/adam-optimization-algorithm-for-deep-learning/

https://keras.io/layers/convolutional/

https://cambridgespark.com/content/tutorials/convolutional-neural-networks-withkeras/index.html

https://www.robots.ox.ac.uk/~vgg/publications/2012/parkhi12a/parkhi12a.pdf

https://www.mathworks.com/company/newsletters/articles/deep-learning-for-computer-visionwith-matlab.html

https://alexisbcook.github.io/2017/global-average-pooling-layers-for-object-localization/

https://en.wikipedia.org/wiki/Convolutional_neural_network

https://deeplearning4j.org/glossary