Collection of awesome DL/Math resources to feel enlightened!
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- Deep Residual Learning for Image Recognition
- Generative Adversarial Networks
- Playing Atari with Deep Reinforcement Learning
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JUST THE MATHS: Quick notes on almost every topic in mathematics.
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The Matrix Calculus You Need For Deep Learning:All the matrix calculus you need in order to understand the training of deep neural networks.
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A Beginner's Guide to the Mathematics of Neural Networks: A paper discussing the evolution of artifical neural network inspired by biological neural networks.
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A Brief Introduction to Machine Learning for Engineers: An entry point for researchers with a background in probability and linear algebra.