DianoiaML.jl

A Keras-like experimental Deep Learning framework in Julia 1.6
Author SkyWorld117
Popularity
7 Stars
Updated Last
4 Months Ago
Started In
July 2020

DianoiaML

DianoiaML is an experimental Keras-like deep learning framework.

The user guide and the To-Do list can be found here.

If you are interested in the history versions, you can also check the update log.

Latest stable version 0.4.0

Environment: Julia 1.6.1

Dependencies:

Features:

  • Network
    • Sequential
    • GAN
  • Layer
    • Flatten
    • Constructive
    • Dense
    • Convolutional2D
    • MaxPooling2D (Not recommended to use for now due to a bug caused by unkown reasons)
    • UpSampling2D
  • Activation Function
    • ReLU
    • Sigmoid
    • Softmax
    • tanh
  • Loss Function
    • Quadratic Loss
    • Categorical Cross Entropy Loss
    • Binary Cross Entropy Loss
    • Mean Squared Error
  • Monitor
    • Absolute
    • Classification
  • Optimizer
    • Minibatch Gradient Descent
    • Stochastic Gradient Descent
    • Adam
    • AdaBelief
    • Genetic Algorithm
  • Tools
    • Model Management
    • One Hot

Please feel free to leave comments, trouble-shootings or advice (which are very valuable for me).

Used By Packages

No packages found.