Automatic Differentiation in 10 minutes with Julia Published 2018-06-01 Download video MP4 360p Recommendations 14:25 What is Automatic Differentiation? 10:35 A programming language to heal the planet together: Julia | Alan Edelman | TEDxMIT 02:40 Julia in 100 Seconds 05:28 Chris Lattner on Julia programming language | Lex Fridman Podcast Clips 13:17 Intuition behind reverse mode algorithmic differentiation (AD) 26:56 Deep Learning to Discover Coordinates for Dynamics: Autoencoders & Physics Informed Machine Learning 28:23 The Fast Fourier Transform (FFT): Most Ingenious Algorithm Ever? 50:03 State of Julia | Valentin Churavy, Jameson Nash, Tim Holy | JuliaCon 2023 16:25 Michael Tiemann - Julia solves the 2 language problem, however it creates the 1.5 language problem 08:41 Differentiate (almost) any function: Automatic Differentiation 55:21 Developing Julia Packages 07:10 Python vs Julia 11:00 What are Lead Lag Compensators? An Introduction. 29:51 P. Mason-Bumper a quick guide to Bump allocators for ultra-high performance intermediate allocations 38:11 Lecture 36: Alan Edelman and Julia Language 30:06 Tim Besard - GPU Programming in Julia: What, Why and How? 13:42 PyTorch Autograd Explained - In-depth Tutorial Similar videos 25:33 [08x06] Calculus using Julia Automatic Differentiation | ForwardDiff.jl, ReverseDiff.jl and Pluto 24:28 Automatic Differentiation for Quantum Electron... | M Towara, N Schmitz, G Kemlin | JuliaCon 2022 1:11:01 Keno Fischer: "Optics in the wild: reverse mode automatic differentiation in Julia" 31:44 So You Think You Know How to Take Derivatives? | Steven Johnson | ASE60 28:08 Introduction to Julia: Automatic differentiation with dual numbers 24:00 Fast Forward and Reverse-Mode Differentiation via Enzyme.jl | Many speakers | JuliaCon 2022 2:12:18 Intro to solving differential equations in Julia 2:29:48 Julia for Economists 2022: Optimization and Automatic Differentiation 36:02 Lecture 5 Part 2: Forward Automatic Differentiation via Dual Numbers 28:43 Representing functions and solving differential equations| Benet & Sanders 31:13 Enzyme.jl: Reverse mode diff'n on LLVM IR for Julia | V. Churavy, W. Moses | JuliaCon 2021 4:56:02 SciMLCon 2022 (live) 01:35 Why Flux? The Elegant Julia Machine Learning Library More results