Artificial Neural Networks: Going Deeper

Deep Learning Crash Course playlist: https://www.youtube.com/playlist?list=PLWKotBjTDoLj3rXBL-nEIPRN9V3a9Cx07 Previous video: https://youtu.be/oS5fz_mHVz0 Highlights: How to train multi-layer networks Backpropagation Activation functions Sigmoid and hyperbolic tangent Vanishing gradient problem ReLU Loss functions Cross-entropy Softmax function One-hot encoding Multi-label classification Universal approximation theorem Further Reading: Deep Learning by Ian Goodfellow: http://www.deeplearningbook.org/ Introduction to Machine Learning by Ethem Alpaydin https://www.cmpe.boun.edu.tr/~ethem/i2ml2e/ CS231n: Convolutional Neural Networks for Visual Recognition http://cs231n.github.io/ Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification https://arxiv.org/pdf/1502.01852.pdf Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) https://arxiv.org/pdf/1511.07289.pdf #deeplearning #machinelearning