GLOSSARY TERM
What is Forward Pass?
The initial phase where input data flows through the neural network to produce an output.
During the forward pass, data propagates through the network layers, undergoing linear and non-linear transformations. The resulting output is then evaluated against the target using a loss function to prepare for backpropagation.
High-Throughput Inference
Execute ultra-fast forward passes utilizing the optimized M1 layer.