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

Build Your Own Neural Network – With PHP

International PHP Conference
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