Virtual Memory

less than 1 minute read

Published: February 25, 2019

Cache

2 minute read

Published: February 17, 2019

Memory Types

Static RAM

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.

Deep RL Vision Attention Malware Detection

1 minute read

Published: January 15, 2020

Introduction

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

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