Deep RL Vision Attention Malware Detection
Published:
Blog posts
2020
2019
Virtual Memory
Published:
Neuro Fuzzy Logic Midterm Notes
Published:
- 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
Cache
Published:
Memory Types
Static RAM
2018
Neural Networks
Published:
Throughout the significantly rapid developing history of Artifical Intelligence, embedded human essence remained at the core of cornerstone technology. The inclsuion of the Artifical Neural Network attempted to mimic the decision process of the human mind, ergo, giving binary machines the power of human-like thinking.
Reinforcement Learning
Published:
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 Q
Published:
- 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.