Neural Networks using Lux.jl and Zygote.jl Autodiff in Julia Published 2023-07-17 Download video MP4 360p Similar videos 43:36 Physics-Informed Neural Networks in Julia 04:16 Building Deep Learning Models in Flux.jl (4 minute tour) 13:23 What is a Pullback in Zygote.jl? | vector-Jacobian products in Julia 2:59:32 Using NeuralODEs in Real Life Applications | JuliaCon 2023 20:15 Adjoint Sensitivities in Julia with Zygote & ChainRules 1:05:20 [82] Intro to FluxML and Machine Learning in Julia (Kyle Daruwalla) 08:06 ImplicitDifferentiation.jl: differentiating implicit functions | M Tarek, G Dalle | JuliaCon 2022 43:15 Keynote: Scientific Machine Learning Through Symbolic Numerics | Chris Rackauckas | JuliaCon 2023 00:53 Algorithmic Minute: gradient descent with JuliaLang 43:11 Writing a Turbulence Simulation in Julia 03:48 Understanding memory allocation in Julia 55:09 Differentiable Programming - An exciting generalisation of deep neural networks by Dr Viral B. Shah 05:19 Why Julia? More results