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Neural Network learns Sine Function with custom backpropagation in Julia
Neural Network -- Visual Example of Learning a Trigonometric Function
AI learns sin function
Neural network fits noisy standing sine wave.
Exp neural network learninig Sin function
My first neural network learns to draw sine function.
Visualizing Trigonometry: Sine Function
Why Neural Networks can learn (almost) anything
Neural Network Sine Function Approximation
Neural Net Learning to predict a sine wave
Neural Net learning the SIN(x)-Function
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Last Updated: September 27, 2026
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Summary
Recorded with screencast-o-matic.com More details here: ... Backpropagation is a method to obtain a gradient estimate for the weights and biases in a What are the neurons, why are there layers, and what is the math underlying it? Help fund future projects: ... Reverse-Mode Automatic Differentiation (the generalization of the backward pass) is one of the magic ingredients that makes ... red color adam optimizer blue color sgd optimizer. This video is inspired from 3Blue1Brown's Lockdown Math series. Feel free to read the code here: ... from sklearn.preprocessing import MinMaxScaler from sklearn.metrics import mean_squared_error from keras.models import ... I suggest watching on a slower speed or else it's just pure chaos.