My reading list
RL Course by David Silver |
RL |
dl nn reinforcement learnign | December 27, 2020 | First thoughts |
Introduction course to reinforcement learning
How to Evaluate Generative Adversarial Networks |
DL |
Tutorial GANs | December 27, 2020 | First thoughts |
From the GANs tutorial about how to evaluate a GAN.
A Gentle Introduction to Generative Adversarial Network Loss Functions |
DL |
GANs Tutorial | December 27, 2020 | First thoughts |
In the series of gentle introduction to GANs an introduction to the loss function.
How to Implement the Inception Score (IS) for Evaluating GANs |
DL |
GANs Tutorial | December 27, 2020 | First thoughts |
In the series a gentle introduction to GANs, a short explanation about the inception score and how to calculate it.
OpenSpiel, A Framework for ReinforcementLearning in Games |
AI |
enviroment ai | December 27, 2020 | First thoughts |
Developed by DeepMind, a collection of enviroments and algorithms for researchers. It includes reinforcement learning and search & planning algorithms. This collection includes games with different characteristics, like n-player, turnbased, perfect and imperfect knowledge and others.
Yann LeCun’s Deep Learning Course at CDS |
DL |
deep learning tutorial | December 27, 2020 | First thoughts |
Yann LeCun’s course to deep learning
AI Ladder |
AI |
ai development | January 10, 2021 | First thoughts |
A model describing how enterprises could include AI in there businesses.
A Gentle Introduction to Generative Adversarial Networks (GANs) |
DL |
GANs Tutorial | December 27, 2020 | First thoughts |
An introduction to GANs, with further articles about loss function and other related topics.