Concise and Practical AI/ML

Share

Explore

Pages

What are AI and ML

$icon picker$

Mathematics Recap

Libraries to Use

Neuralnet Alphabet

Types of Neurons

Input Separations

Activation Functions

Layers in Network

Gradient Descent

Backpropagation

Optimisers & Training

Techniques in ML

Boosted & Combinatory

Heuristic Hyperparams

Problems in Neuralnet

Explosion and Vanishing

Supervised Learning

Reinforcement Learning

Learning Tactics

Bellman Equation

Unsupervised Learning

Some Applications

Incremental Learning

Algorithm Approximator

Sequence Learning

Pattern Learning

Notable Mentions

$icon picker$
Mathematics Recap

Share

Want to print your doc?
This is not the way.

Try clicking the ⋯ next to your doc name or using a keyboard shortcut (

CtrlP

) instead.