EasyNeuralNetworks

NeuralNetwork framework mainly for AVR/ESP microcontrollers, but can be used on other architectures.

Supported Layers

• Fully Connected (DenseLayer)
• Convolution (ConvLayer1D and ConvLayer2D)
• Max Pooling (MaxPoolingLayer1D and MaxPoolingLayer1D)
• Zero Padding (ZeroPaddingLayer1D and ZeroPaddingLayer2D)
• Reshaping Layer (ReshapeLayer)
• Flattening Layer (FlattenLayer)
• Drop Out Layer (DropOutLayer, DropOutLayer1D and DropOutLayer2D)
• Concatenation layer (ConcatLayer)

Supported trainers:

Gradient Descent Back Propagation for Dense and Convolution layers.