Build Your Own Neural Network – With PHP

Explore the fundamentals of artificial neural networks (ANN) and deep learning in this 45-minute conference talk from the International PHP Conference. Dive into the world of machine learning as speaker Vitor Brandao demystifies concepts like neurons, parameters, topology, activation, and forward propagation. Learn how to build your own ANN using PHP, understand cost functions and back propagation, and discover how to update parameters effectively. Gain practical insights into XOR problems, initialization techniques, and network topology. Conclude with a challenge to apply your newfound knowledge and access valuable resources for further learning in this engaging introduction to neural networks and PHP-based machine learning.

Introduction
Why this talk
Neuron
Learn about parameters
What is machine learning
XOR
Topology
Parameters
Activation
Initialization
Forward Propagation
Cost Function
Back Propagation
Update Parameters
Recap
Challenge
Resources