# -*- encoding: utf-8 -*-
# stub: ruby_brain 0.1.3 ruby lib

Gem::Specification.new do |s|
  s.name = "ruby_brain".freeze
  s.version = "0.1.3".freeze

  s.required_rubygems_version = Gem::Requirement.new(">= 0".freeze) if s.respond_to? :required_rubygems_version=
  s.require_paths = ["lib".freeze]
  s.authors = ["elgoog".freeze]
  s.bindir = "exe".freeze
  s.date = "2016-08-02"
  s.description = "NeuralNet/DeepLearning implement for Ruby. You can use 'neural network' and 'deep learning' easily.".freeze
  s.email = ["elgoog.development@gmail.com".freeze]
  s.files = [".gitignore".freeze, ".rspec".freeze, ".travis.yml".freeze, "Gemfile".freeze, "LICENSE.txt".freeze, "README.md".freeze, "README.org".freeze, "Rakefile".freeze, "bin/console".freeze, "bin/setup".freeze, "examples/mnist.ipynb".freeze, "examples/mnist.rb".freeze, "examples/mnist2.rb".freeze, "examples/wave_form.ipynb".freeze, "lib/ruby_brain.rb".freeze, "lib/ruby_brain/dataset/mnist/data.rb".freeze, "lib/ruby_brain/dataset/mnist/test_mnist.rb".freeze, "lib/ruby_brain/exception.rb".freeze, "lib/ruby_brain/layer.rb".freeze, "lib/ruby_brain/network.rb".freeze, "lib/ruby_brain/nodes.rb".freeze, "lib/ruby_brain/trainer.rb".freeze, "lib/ruby_brain/training_data_manipulator.rb".freeze, "lib/ruby_brain/version.rb".freeze, "lib/ruby_brain/weights.rb".freeze, "ruby_brain.gemspec".freeze]
  s.homepage = "https://github.com/elgoog/ruby_brain/".freeze
  s.licenses = ["MIT".freeze]
  s.rubygems_version = "3.5.10".freeze
  s.summary = "NeuralNet/DeepLearning implement for Ruby".freeze

  s.specification_version = 4

  s.add_development_dependency(%q<bundler>.freeze, ["~> 1.12".freeze])
  s.add_development_dependency(%q<rake>.freeze, ["~> 10.0".freeze])
  s.add_development_dependency(%q<rspec>.freeze, ["~> 3.0".freeze])
  s.add_runtime_dependency(%q<mnist>.freeze, [">= 0".freeze])
end