Convolutional-Neural-Networks

Convolutional Neural Networks repository for all projects and programming assignments of Course 4 of 5 of the Deep Learning Specialization offered on Coursera and taught by Andrew Ng, covering topics such as convolutional neural networks and classical architectures like LeNet-5 (1998), AlexNet (2012), GoogleNet Inception Network (2014), VGG-16 (2015), ResNet (2015), 1x1 Convolutions (2014), OverFeat (2014), R-CNN (2014), Fast R-CNN (2015), Faster R-CNN (2016), YOLO (2016), YOLO9000 (2016), DeepFace (2014), FaceNet (2015) and Neural Style Transfer (2015) that propelled deep learning in new heights.

I loved implementing applications brining me one step closer to safe autonomous driving, object detection, accurate face recognition and automatic reading of radiology images. The highlight of this course was using neural style transfer to generate art, which as you can see below I had a wonderful time exploring using the Google Cloud Platform (GCP). Finally I learned how to apply these algorithms to a variety of image, video, and other 2D or 3D data using Keras and Tensorflow.

Convolutional Neural Networks and Classical Architectures, see Papers

1986 Backprop Learning representations by back-propagating errors - Rumelhart, Hinton, Williams
1998 LeNet-5 GradientBased Learning Applied to Document Recognition - LeCun, Bottou, Bengio, Hanner
2012 AlexNet ImageNet Classification with Deep Convolutional Neural Networks - Krizhevsky, Sutskever, Hinton
2014 GoogleNet Inception Network Going Deeper with Convolutions - Szegedy et al
2015 VGG-16 Very Deep Convolutional Networks for Large-Scale Image Recognition - Simonyan, Zisserman
2015 ResNet Deep Residual Learning for Image Recognition - He, Zhang, Ren, Sun
2014 1x1 Convolution Network In Network - Lin, Chen, Yan
2014 OverFeat Integrated Recognition, Localization and Detection using Convolutional Networks - Sermanet, Eigen, Zhang, Mathieu, Fergus, LeCun
2014 R-CNN Rich feature hierarchies for accurate object detection and semantic segmentation - Girshick, Donahue, Darrell, Malik
2015 Fast R-CNN - Girshick
2016 Faster R-CNN Towards Real-Time Object Detection with Region Proposal Networks - Ren, He, Girshick, Sun
2016 YOLO You Only Look Once - Unified, Real-Time Object Detection - Redmond, Divvala, Girshick, Farhadi
2016 YOLO9000 - Better, Faster, Stronger - Redmon, Farhadi
2013 Visualizing and Understanding Convolutional Networks - Zeiler, Fergus
2014 DeepFace- Closing the Gap to Human-Level Performance in Face Verification - Taigman, Yang, Ranzato, Wolf
2015 FaceNet- A Unified Embedding for Face Recognition and Clustering - Schroff, Kalenichenko, Philbin
2015 A Neural Algorithm of Artistic Style - Gatsys, Ecker, Bethge