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In this video I'll show you how an artificial neural network works, and how to make one yourself in Python. In the next video we'll make one that is usable, but if you want, that code can already be found on github. I recommend watching at 1.5x speed, unless you're coding along.
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https://github.com/jonasbostoen/simple-neural-network
reating a simple neural network in Python with one input layer (3 inputs) and one output neuron. A neural network with no hidden layers is called a perceptron. In the training_version.py I train the neural network in the clearest way possible, but it's not really useable. The outputs of the training can be found in outputs.txt . neural_network.py is an object and can be used by giving in different inputs.
Thanks to Milo Spencer-Harber for this: https://medium.com/technology-invention-and-more/how-to-build-a-simple-neural-network-in-9-lines-of-python-code-cc8f23647ca1
And to Andrew Trask for this: https://iamtrask.github.io/2015/07/12/basic-python-network/
What does it do?
The neural_net.py tries to predict the output given 3 binary inputs. If the first input is 1, the output should be one. Otherwise the output should be 0.
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Build Amazon Price Checker with Python, Selenium
In this FREE LIVE training, Qazi and Jakob will show you how to build an AMAZON Price Tracker with Python and Selenium 🚀
Github Repo 👉 https://github.com/jakobowsky/AmazonPriceTracker
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