TLearn

This is my hobby machine learning library. I will add machine learning items.

Installation

Add this line to your application's Gemfile:

gem 't_learn'

And then execute:

$ bundle

Or install it yourself as:

$ gem install t_learn

Usage

simple feedforward_neural_network

respect for keras.

require "t_learn"

model = TLearn::FNN.new(learning_rate=0.1)

model.add_layer(node_num=2)
model.add_layer(node_num=3)
model.add_layer(node_num=1)

x_train = [[0.0, 0.0],[0.0, 1.0], [1.0, 0.0], [1.0, 1.0]]
y_train = [[ 0.0 ], [ 1.0 ],[ 1.0 ],[ 0.0 ]]
model.fit(x_train, y_train, epoch=50000)

x_test = x_train
y_test = y_train

err_rate = model.evaluate(x_test, y_test)

puts "err rate: #{err_rate}%"

hop filed net

sample

require "t_learn"

data = [1.0, 1.0, -1.0, -1.0, 1.0]  # teacher data
hop_field_net = TLearn::HopFieldNet.new(0.0, data)
hop_field_net.memorize
noisedData = TLearn.add_noise_data(data, 0.0) # make test data
puts "#{TLearn.evaluate(data, noisedData)}%"
hop_field_net.remember(noisedData)
puts "#{ TLearn.evaluate(data,hop_field_net.nodes) }%" 

Development

After checking out the repo, run bin/setup to install dependencies. Then, run rake spec to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/Tcom242242/t_learn. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.

License

The gem is available as open source under the terms of the MIT License.