
What is the Delta Rule? (Part-1)
The Beauty that is the Delta Rule In general, there are 2 main ways to train an Artificial Neural Network (ANN). In our previous post
The Beauty that is the Delta Rule In general, there are 2 main ways to
The Perceptron Training Rule It is important to learn the training process of huge neural
ECML-PKDD-2019 on EBFDD networks for Anomaly Detection This paper introduces the Elliptical Basis Function Data
What will you Learn in this Post? Neural Networks are function approximators. For example, in

The Beauty that is the Delta Rule In general, there are 2 main ways to train an Artificial Neural Network (ANN). In our previous post

The Perceptron Training Rule It is important to learn the training process of huge neural networks. However, we need to simplify this by first understanding

ECML-PKDD-2019 on EBFDD networks for Anomaly Detection This paper introduces the Elliptical Basis Function Data Descriptor (EBFDD) network, a one-class classification approach to anomaly detection

What will you Learn in this Post? Neural Networks are function approximators. For example, in a supervised learning setting, given loads of inputs and loads
🔴Join me LIVE for the next reading session of the book 𝗔𝗰𝘁𝗶𝘃𝗲 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲. This session will work out a numeric example for 𝗕𝗮𝘆𝗲𝘀' 𝗥𝘂𝗹𝗲.
📷𝗪𝗛𝗘𝗥𝗘:
📷𝗪𝗵𝗮𝘁 𝗧𝗶𝗺𝗲: 21:00 (Australian Eastern Standard Time) 🔥
🚨 Going LIVE this Thursday (22:00 AEST)
Kicking off a live reading of
📘 Active Inference: The Free Energy Principle in Mind, Brain, and Behavior
We start with:
🧠 Perception as Unconscious Inference👇
#Neuroscience #MachineLearning #AI
What is this post about? In the previous post, we learned all about what over-fitting
What is this post about, and what is next? Hi there!!! Let’s cut to the
Which attribute to choose? (Part-2) Today we are going to touch on something quite exciting.
Which Attribute to Choose? (Part1) In our last post, we introduced the idea of the
What will you learn? You will learn how a decision tree works but without going
🔴Join me LIVE for the next reading session of the book 𝗔𝗰𝘁𝗶𝘃𝗲 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲. This session will work out a numeric example for 𝗕𝗮𝘆𝗲𝘀' 𝗥𝘂𝗹𝗲.
📷𝗪𝗛𝗘𝗥𝗘:
📷𝗪𝗵𝗮𝘁 𝗧𝗶𝗺𝗲: 21:00 (Australian Eastern Standard Time) 🔥
🚨 Going LIVE this Thursday (22:00 AEST)
Kicking off a live reading of
📘 Active Inference: The Free Energy Principle in Mind, Brain, and Behavior
We start with:
🧠 Perception as Unconscious Inference👇
#Neuroscience #MachineLearning #AI
