Neural Networks to Approximate any Function | Global Approximators | Train Artificial Intelligence
Channel: DataTrek
Date: 22/01/2023

#neuralnetwork #artificialintelligence #datascience #machinelearning #datascience #machinelearning #artificialintelligence #analytics #statistics 

Neural networks are called universal approximators because they have the ability to approximate any function given enough hidden units, non-linear activation function and training data.
In this short experimental video, testing the capabilities of a neural network I have covered.
Train a Neural network to add two numbers.
Train a Neural network to multiply two numbers.
Come up with a Neural network architecture that can approximate any linear, non-linear or even piecewise function just through training data (unknowing of the actual function to approximate).
 
We will also look at the codes so one can try them yourself. Data Science enthusiasts can build more engaging stuff on top of this. Like and subscribe for more such interesting concepts.
 
Kaggle Notebook Link: https://www.kaggle.com/code/abhishekmungoli/ai-to-approximate-any-function

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