Prophecy 2.0

[theolepage]

• Simple tensor class
• Layers: dense, relu, sigmoid, softmax
• Model: predict, fit (validation), evaluate, summary
• Loss: MSE, cross-entropy
• Metrics: loss, accuracy
• Weights regularization
• Learning rate schedulers
• Optim: Adam, SGD
• Python bindings
• Export/import weights
• Optmizations: CUDA, OpenMP
• Clean CPP, cmake, tests, docs, example notebooks

Objective: fast and accurate classification of MNIST.