InTDS ArchivebyAdrien Lucas Ecoffet·Oct 5, 2018An Intuitive Explanation of Policy Gradient — Part 1: REINFORCEPolicy gradient is behind some of the best RL algorithms out there, yet few people understand the intuition behind its loss function.A response icon26A response icon26
InTDS ArchivebyAdrien Lucas Ecoffet·May 5, 2018Deep Learning Book Notes, Chapter 3 (part 1): Introduction to ProbabilityThese are the first part of my notes for chapter 3 of the Deep Learning book. They can also serve as a quick intro to probability. These…A response icon8A response icon8
InTDS ArchivebyAdrien Lucas Ecoffet·Apr 2, 2018Paper repro: Deep Metalearning using “MAML” and “Reptile”How do you learn from very little data? Two recent papers may have the answer. Let’s reproduce them!A response icon9A response icon9
InTDS ArchivebyAdrien Lucas Ecoffet·Mar 27, 2018Paper Repro: Deep Neuroevolution“Deep Neuroevolution” showed that simple genetic algorithms can outperform advanced RL algorithms on Atari games. Let’s reproduce it!A response icon5A response icon5
InBecoming Human: Artificial Intelligence MagazinebyAdrien Lucas Ecoffet·Mar 17, 2018Deep Learning Book Notes, Chapter 2: Linear Algebra for Deep LearningThese are my notes for chapter 2 of the Deep Learning book. They can also serve as a quick intro to linear algebra for deep learning.A response icon6A response icon6
InBecoming Human: Artificial Intelligence MagazinebyAdrien Lucas Ecoffet·Mar 11, 2018Paper repro: “Self-Normalizing Neural Networks”This post details my experience reproducing “Self-Normalizing Neural Networks” as part of the Nurture.AI NIPS Challenge 2017, as well as my…
InBecoming Human: Artificial Intelligence MagazinebyAdrien Lucas Ecoffet·Mar 10, 2018Deep Learning Book Notes, Chapter 1These are my notes on the Deep Learning book. There are many like them but these ones are mine.A response icon1A response icon1
InBecoming Human: Artificial Intelligence MagazinebyAdrien Lucas Ecoffet·Mar 6, 2018Investigating Focal and Dice Loss for the Kaggle 2018 Data Science BowlThis post details my experiments and implementations with three important loss functions for the Kaggle 2018 data science bowl, and…A response icon2A response icon2
InBecoming Human: Artificial Intelligence MagazinebyAdrien Lucas Ecoffet·Feb 27, 2018Paper repro: “Learning to Learn by Gradient Descent by Gradient Descent”This post is the first of what will (hopefully) be a series of deep learning paper reproduction posts.A response icon6A response icon6
InBecoming Human: Artificial Intelligence MagazinebyAdrien Lucas Ecoffet·Oct 31, 2017Beat Atari with Deep Reinforcement Learning! (Part 2: DQN improvements)Note: Before reading part 2, I recommend you read Beat Atari with Deep Reinforcement Learning! (Part 1: DQN)A response icon9A response icon9
