📄Data preprocessing - Tidy data
📄Deep learning-Yann LeCun, Yoshua Bengio & Geoffrey Hinton
📄Topology of Learning in Artificial Neural Networks
📄A Theoretical Framework for Back-Propagation
📄Adam: A Method for Stochastic Optimization
📄Dropout: A Simple Way to Prevent Neural Networks from Overfitting
📄Visualizing and Understanding Convolutional Networks
📄AlexNet-ImageNet Classification with Deep Convolutional Neural Networks
📄VGG Net-VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
📄ResNet-Deep Residual Learning for Image Recognition
📄YOLO-You Only Look Once: Unified, Real-Time Object Detection