Build your own Neural Network – with PHP! | Vitor Brandao

Php

Learn how to build a neural network using PHP and get hands-on experience with machine learning concepts such as supervised learning, backpropagation, and vectorization.

Key takeaways

Neural networks can be built using PHP, and the speaker demonstrates a simple example.
The speaker explains the concept of a neuron, including the dendrite, axon, and synapse.
The sigmoid function is used as an activation function to model the firing rate of a neuron.
The speaker discusses the importance of backpropagation in training a neural network.
The talk covers the basics of machine learning, including supervised learning and the use of known inputs and outputs.
The speaker uses a simple example of an XOR gate to demonstrate the concept of a neural network.
The talk also covers the concept of deep learning and its applications.
The speaker uses the MathPHP library to implement the neural network in PHP.
The talk concludes with a demonstration of the neural network in action, classifying inputs as either 0 or 1.
The speaker emphasizes the importance of understanding the basics of machine learning and neural networks before diving into more complex topics.
The talk also covers the concept of vectorization and its importance in machine learning.
The speaker uses a simple example to demonstrate the concept of vectorization.
The talk concludes with a demonstration of the neural network in action, classifying inputs as either 0 or 1.
The speaker emphasizes the importance of understanding the basics of machine learning and neural networks before diving into more complex topics.

Build your own Neural Network – with PHP! | Vitor Brandao

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