Open sepidehamiri opened 6 years ago
Three main layers:
Convolution layers and pooling layers are one among and after them there are some fully connected layers.
The first feed forward just Multiplication point between input and parameter of neuron. Calculation of output Calculation ### loss function
Calculation gradient of parameter with use chain rule
repeat
Three main layers:
1. Convolution Layer
2. Pooling Layers
3. Fully Connected Layers
Convolution layers and pooling layers are one among and after them there are some fully connected layers.
feed forward:
The first feed forward just Multiplication point between input and parameter of neuron. Calculation of output Calculation ### loss function
backpropagation
Calculation gradient of parameter with use chain rule
repeat