Deep learning in Julia

[cpfiffer]

Also: this discussion of Lux.jl is great and topical.

[ANN] Lux.jl: Explicitly Parameterized Neural Networks in Julia

Lux is a new Julia deep learning framework that decouples models and parameterization using deeply nested named tuples. Functional Layer API – Pure Functions and Deterministic Function Calls. No more implicit parameterization Compiler and AD-friendly Neural Networks using Lux, Random, Optimisers, Zygote # Seeding rng = Random.default_rng() Random.seed!(rng, 0) # Construct the layer model = Chain( BatchNorm(128), Dense(128, 256, tanh), BatchNorm(256), Chain( Dense(256…