Cache

2 minute read

Published: February 17, 2019

Memory Types

Static RAM

Deep Q

less than 1 minute read

Published: September 12, 2018

• Discount factor allows for rewards in the future to be slightly minimized.
• The further you advance in time, the more divergence with rewards. (e.g coins might not be placed in the same place in the future).
• We do not want machine to memorize a sequence, hence discounting rewards in the future will discourage it from pursuing and exact sequence.

Deep Q Learning Algorithm

Neuro Fuzzy Logic Midterm Notes

less than 1 minute read

Published: February 17, 2019

• Supervised Learning algorithms require a target output
  • As opposed to unsupervised in which has no target output
  • Reinforcement is gives feedback
• Underfitting can be a result of having a lack of hidden neurons or lack of data
• Overtraining can be a result of too many hidden neurons
• Each neuron has many inputs but only one output
• Activation layer of hidden layer must be nonlinear
  • Other layers (I/O) can be linear

Virtual Memory

less than 1 minute read

Published: February 25, 2019

Deep RL Vision Attention Malware Detection

1 minute read

Published: January 15, 2020

Introduction

Reinforcement Learning

less than 1 minute read

Published: September 20, 2018

What Is Reinforcement Learning

     Reinforcement Learning is a section of machine learning that is interested in designing autonomous agents, capable of sensing and acting within the given parameters (environment), while also learning and advancing its decision making process.