Denny's Blog

My name is Denny. I started my career in databases and distributed systems at UC Berkeley, where I was part of the AMPLab and an early research engineer at Apache Spark. I went to graduate school at Stanford where I applied database techniques to fast inference in probabilistic graphical models before moving into Deep Learning research in ~2015. I published several papers as part of the Google AI team, where I focused on NLP, Machine Translation, and Reinforcement Learning. In 2018 I became interested in ~~gambling~~ trading and left academia to work for a HFT hedge fund. I am now working on applying ML and Reinforcement Learning techniques to markets, most recently in Decentralized Finance (DeFi).

You can find me on Github or email me at [fullname] at gmail.

Solving Path of Exile item crafting with Reinforcement Learning

Adopting Nix

Probability Monads from scratch in 100 lines of Haskell

Deep Learning ideas that have stood the test of time

Building AI Trading Systems

Replication Issues in AI research

Learning to Trade with Reinforcement Learning

AI and Deep Learning in 2017 – A Year in Review

Learning Reinforcement Learning

RNNs in Tensorflow - A Practical Guide and Undocumented Features

Deep Learning for Chatbots, Part 2 – Implementing a Retrieval-Based Model in Tensorflow

Deep Learning for Chatbots, Part 1 – Introduction

Attention and Memory in Deep Learning and NLP

Implementing a CNN for Text Classification in TensorFlow

Understanding Convolutional Neural Networks for NLP

Recurrent Neural Network Tutorial, Part 4 – Implementing a GRU and LSTM RNN with Python and Theano

Recurrent Neural Networks Tutorial, Part 3 – Backpropagation Through Time and Vanishing Gradients

Recurrent Neural Networks Tutorial, Part 2 – Implementing a RNN with Python, Numpy and Theano

Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs

Speeding up your Neural Network with Theano and the GPU

Implementing a Neural Network from Scratch in Python