Reinforcement Learning - Monte Carlo Methods
Part 2 of the RL series. A slightly deeper dive into reinforcement learning methods by learning how to use Monte Carlo simulations to learn how to play blackjack.
Click to read and post commentsOct 25, 2015
Oct 19, 2015
Reinforcement Learning - Part 1
The first part in a series introducing the theory, math and implementation details of reinforcement learning algorithms using Python. Here we introduce the topic with a very simple RL problem, the n-armed bandit problem.
Click to read and post commentsSep 29, 2015
Beginner Tutorial: Neural Nets in Theano
A gentle introduction to the powerful machine learning library, Theano.
Click to read and post commentsSep 12, 2015
Simple Genetic Algorithm in Python --Addendum
A brief addendum to my previous post on a simple genetic algorithm. Here I explore how varying the parameters affects our GA performance.
Click to read and post commentsSep 10, 2015
Simple RNN in Julia
A beginner tutorial for an even simpler recurrent neural network implementation in Julia.
Click to read and post commentsSep 05, 2015
On chain rule, computational graphs, and backpropagation
Here I'm going to revisit backpropagation theory by thinking about neural networks as computational graphs upon which we can easily visualize the chain rule to compute partial derivatives.
posted at 00:00
by Brandon Brown
· Computational Graphs
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