ad1186a6-3868-40d8-ba51-d38e51168d7d beie director@blueeyesintelligence.org 10.35940/ijitee.G8983.0510721 Andrew Crudge, Will Thomas and Kaiyuan Zhu, Article 'Landmark Recognition Using Machine Learning' 2015: http://cs229.stanford.edu/proj2014/Andrew%20Crudge,%20Will%20Thomas,%20Kaiyuan%20Zhu,%20Landmark%20Recognition%20Using%20Machine%20Learning.pdfMaxence Dutreix, Nathan Hatch, Raghav Kuppan, Pranav Shenoy Kasargod Pattanashetty, Anirudha Sundaresan 'Google Landmark Recognition and Retrieval Challenges' Article. April 25, 2018 : https://nhatch.github.io/files/landmarks_report.pdf'Google Landmark Recognition using Transfer Learning' Article by Catherine McNabb, Anuraag Mohile, Avani Sharma, Evan David, Anisha Garg : https://towardsdatascience.com/google-landmark-recognition-using-transfer-learning-dde35cc760e1Blog on end to end Image Classification in fastai.: https://rajaskakodkar.github.io/blog/deep%20learning/2020/10/07/image-classification.htmlhttps://medium.com/@abhinaya08/google-landmark-recognition-274aab3c71aehttps://en.wikipedia.org/wiki/Deep_learningIntroduction to transfer learning: https://builtin.com/data-science/transfer-learningGuide to CNN, by Daphne Cornelisse. April 24, 2018: https://www.freecodecamp.org/news/an-intuitive-guide-to-convolutional-neural-networks-260c2de0a050/Basics of Convolution Neural Networks, February 25, 2019: https://towardsdatascience.com/covolutional-neural-network-cb0883dd6529CNN working by Derrick Mwiti, May 8, 2018: heartbeat.fritz.ai/a-beginners-guide-to-convolutional-neural-networks-cnn-cf26c5ee17edFast-ai: https://www.fast.ai/'Understanding AlexNet' by Sunita Nayak : https://learnopencv.com/understanding-alexnet/amp/'VGGNet Architecture' by Prabin Nepal, July 30, 2020: https://medium.com/analytics-vidhya/vggnet-architecture-explained-e5c7318aa5b6Residual Networks (ResNet): https://www.geeksforgeeks.org/residual-networks-resnet-deep-learning/'Detailed guide to understand and implement ResNets' by Ankit Sachan: https://cv-tricks.com/keras/understand-implement-resnets/https://www.researchgate.net/figure/ResNet-50-architecture-26-shown-with-the-residual-units-the-size-of-the-filters-and_fig1_338603223Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun, 'Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks' paper published on 6th January 2016: https://arxiv.org/pdf/1506.01497.pdf