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ConvNetSwift

Swift port of ConvnetJS - a library for training Deep Learning models (mainly Neural Networks).

Updated to Swift 3.

Available NN layer types:

• Fully Connected
• Convolutional
• Dropout
• ReLU
• Sigmoid
• Maxout
• Hyperbolic Tangent
• Local Response Normalization
• Max Pooling
• Output: Softmax, Regression, SVM

Optimization methods ('trainers'/'solvers'):

• Stochastic Gradient Descent
• Adam
• Adaptive Gradient
• WindowGrad
• AdaDelta
• Nesterov’s Accelerated Gradient

Reinforcement learning:

• Q-learning

Acceleration:

• Accelerate framework
• Metal

This is not a production-ready library. It is a personal research project and work in progress.