Transfer Learning with various architectures of Convolutional Networks.

http://ruder.io/transfer-learning/

ImageNet: VGGNet, ResNet, Inception, and Xception with Keras

Transfer learning & The art of using Pre-trained Models in Deep Learning

http://torch.ch/blog/2016/02/04/resnets.html

ResNet, AlexNet, VGG

http://cv-tricks.com/cnn/understand-resnet-alexnet-vgg-inception/

http://kaiminghe.com/icml16tutorial/icml2016_tutorial_deep_residual_networks_kaiminghe.pdf

https://github.com/KaimingHe/deep-residual-networks

http://www.learngroup.org/uploads/2015-04-01/Solution_Manual_Artificial_Intelligence_A_Modern_Approach.pdf

Code – https://towardsdatascience.com/transfer-learning-using-keras-d804b2e04ef8

https://harishnarayanan.org/writing/artistic-style-transfer/

https://www.pyimagesearch.com/static/ppao-sample-chapter.pdf

https://github.com/phpmind/TensorFlow-Tutorials-1