Neural Network learns Sine Function with custom backpropagation in Julia Published 2023-04-13 Download video MP4 360p Similar videos 52:04 Neural Network learns sine function in NumPy/Python with backprop from scratch 26:50 Neural Networks using Lux.jl and Zygote.jl Autodiff in Julia 31:28 Building a neural network FROM SCRATCH (no Tensorflow/Pytorch, just numpy & math) 2:24:36 Workshop 2: An Introduction to Symbolic Regression with PySR and SymbolicRegression.jl 10:12 Simple forward-mode AD in Julia using Dual Numbers and Operator Overloading 23:01 But what is a convolution? 00:46 Day in My Life as a Quantum Computing Engineer! 22:23 Exploring audio circuits with ModelingToolkit.jl | George Gkountouras | JuliaCon 2022 24:04 Extending PyJL to Translate Python Libraries to Julia | Miguel Marcelino | JuliaCon 2022 26:54 Flux: The Elegant Machine Learning Library | Mike Innes | JuliaCon 2018 1:01:49 Models as Code: Differentiable Programming with Zygote 1:47:16 ALIFE 2021 Tutorial: Differentiable Self-Organizing Systems More results